NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "mysql_identifier_quote_character" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "mysql_identifier_quote_character" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 397 [function] => variable_get [args] => Array ( [0] => mysql_identifier_quote_character [1] => ` ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 329 [function] => setPrefix [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [default] => ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 349 [function] => __construct [class] => DatabaseConnection [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => mysql:host=localhost;port=3306;charset=utf8;dbname=hitrahr [1] => root [2] => asdf [3] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1796 [function] => __construct [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) [pdo] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1582 [function] => openConnection [class] => Database [type] => :: [args] => Array ( [0] => hitrahr [1] => default ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 2467 [function] => getConnection [class] => Database [type] => :: [args] => Array ( [0] => default ) ) [7] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 31 [function] => db_query [args] => Array ( [0] => SELECT entity_id FROM field_data_field_url_alias WHERE field_url_alias_value = :alias AND entity_type = 'taxonomy_term' AND language = :language [1] => Array ( [:alias] => cc [:language] => en ) ) ) [8] => Array ( [file] => /apps/nobleprog-website/includes/functions/category-functions.php [line] => 149 [function] => np_db_query [args] => Array ( [0] => hitrahr [1] => db_query [2] => SELECT entity_id FROM field_data_field_url_alias WHERE field_url_alias_value = :alias AND entity_type = 'taxonomy_term' AND language = :language [3] => Array ( [:alias] => cc [:language] => en ) ) ) [9] => Array ( [file] => /apps/nobleprog-website/routes.logic.php [line] => 75 [function] => category_validate_url_alias [args] => Array ( [0] => cc ) ) [10] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 86 [function] => check_for_module [args] => Array ( [0] => /en/cc/tblint [1] => Array ( [0] => [1] => cc [2] => tblint [3] => en ) ) ) [11] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [12] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "mysql_identifier_quote_character" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "mysql_identifier_quote_character" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 397 [function] => variable_get [args] => Array ( [0] => mysql_identifier_quote_character [1] => ` ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 329 [function] => setPrefix [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [default] => ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 349 [function] => __construct [class] => DatabaseConnection [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => mysql:host=localhost;port=3306;charset=utf8;dbname=common_fe [1] => root [2] => asdf [3] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1796 [function] => __construct [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) [pdo] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1582 [function] => openConnection [class] => Database [type] => :: [args] => Array ( [0] => common_fe [1] => default ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 2467 [function] => getConnection [class] => Database [type] => :: [args] => Array ( [0] => default ) ) [7] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 31 [function] => db_query [args] => Array ( [0] => SELECT * FROM price_formulas WHERE country_code = :country_code [1] => Array ( [:country_code] => ve ) ) ) [8] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 111 [function] => np_db_query [args] => Array ( [0] => common_fe [1] => db_query [2] => SELECT * FROM price_formulas WHERE country_code = :country_code [3] => Array ( [:country_code] => ve ) ) ) [9] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 93 [function] => get_formula [args] => Array ( [0] => ve ) ) [10] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 355 [function] => course_price_v2_formula [args] => Array ( ) ) [11] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 344 [function] => course_price_change_to_fe_p [args] => Array ( [0] => tblint [1] => 14 [2] => ca_high,za_premium,uk_premium,za_midrange,pl_1500 [3] => 0 [4] => [5] => USD ) ) [12] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 316 [function] => course_price_get_default_price [args] => Array ( [0] => tblint ) ) [13] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 15 [function] => course_price_get_price [args] => Array ( [0] => tblint ) ) [14] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => tblint ) ) [15] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [16] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [17] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [18] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "sdp" /apps/nobleprog-website/includes/functions/course-prices.php:281 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 281 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "sdp" [2] => /apps/nobleprog-website/includes/functions/course-prices.php [3] => 281 ) ) [1] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 45 [function] => course_price_table [args] => Array ( [0] => Array ( [fdp] => 4350 [adp] => 750 [reduced_fdp] => [reduced_adp] => [days] => 2 [default_venue_fdc] => 350 [default_venue_adc] => 50 [people] => 1 [hours] => 14 [course_code] => tblint [venue_id] => ve_10638169 [vfdc] => 250.00 [vadc] => 75.00 ) [1] => 10 ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => tblint ) ) [3] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [4] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [6] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "nobleprog_default_trainer_journey" /apps/nobleprog-website/includes/functions/course-prices.php:286 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 286 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "nobleprog_default_trainer_journey" [2] => /apps/nobleprog-website/includes/functions/course-prices.php [3] => 286 ) ) [1] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 45 [function] => course_price_table [args] => Array ( [0] => Array ( [fdp] => 4350 [adp] => 750 [reduced_fdp] => [reduced_adp] => [days] => 2 [default_venue_fdc] => 350 [default_venue_adc] => 50 [people] => 1 [hours] => 14 [course_code] => tblint [venue_id] => ve_10638169 [vfdc] => 250.00 [vadc] => 75.00 ) [1] => 10 ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => tblint ) ) [3] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [4] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [6] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "nobleprog_price_rounding" /apps/nobleprog-website/includes/functions/course-prices.php:289 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 289 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "nobleprog_price_rounding" [2] => /apps/nobleprog-website/includes/functions/course-prices.php [3] => 289 ) ) [1] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 45 [function] => course_price_table [args] => Array ( [0] => Array ( [fdp] => 4350 [adp] => 750 [reduced_fdp] => [reduced_adp] => [days] => 2 [default_venue_fdc] => 350 [default_venue_adc] => 50 [people] => 1 [hours] => 14 [course_code] => tblint [venue_id] => ve_10638169 [vfdc] => 250.00 [vadc] => 75.00 ) [1] => 10 ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => tblint ) ) [3] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [4] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [6] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Cannot modify header information - headers already sent by (output started at /apps/nobleprog-website/_index.php:16) /apps/nobleprog-website/modules/course/course.php:119 Array ( [0] => Array ( [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Cannot modify header information - headers already sent by (output started at /apps/nobleprog-website/_index.php:16) [2] => /apps/nobleprog-website/modules/course/course.php [3] => 119 ) ) [1] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 119 [function] => header [args] => Array ( [0] => X-CSRF-Token:Tm9ibGVQcm9nMTcxNjAyMzk1OA== ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 82 [function] => course_generate_csrf_token [args] => Array ( ) ) [3] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 31 [function] => course_render [args] => Array ( [0] => Array ( [course_code] => tblint [hr_nid] => 308003 [title] => Tableau Intermediate Training Course [requirements] =>

Recommended- attendance on the Tableau Fundamentals course (or similar level of experience)

[overview] =>

Tableau helps people see and understand data.

[category_overview] => [outline] =>

  1. Connecting to datasources

  2. Effective visualisations

  3. Calculations

  4. Processing Array Data

  5. Statistics

  6. Building effective dashboards

  7. Sharing dashboards

[language] => en [duration] => 14 [status] => published [changed] => 1700037488 [source_title] => Tableau Intermediate Training Course [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [1] => Array ( [0] => stdClass Object ( [tid] => 902 [alias] => statistics-training [name] => Statistics [english_name] => Statistics [consulting_option] => available ) [1] => stdClass Object ( [tid] => 1236 [alias] => tableau-training [name] => Tableau [english_name] => Tableau [consulting_option] => available ) [2] => stdClass Object ( [tid] => 1313 [alias] => data-visualization-training [name] => Data Visualization [english_name] => Data Visualization [consulting_option] => available ) ) [2] => tblint [3] => Array ( [outlines] => Array ( [advspotfire] => stdClass Object ( [course_code] => advspotfire [hr_nid] => 312571 [title] => Advanced Data Analysis with TIBCO Spotfire [requirements] =>

Audience

[overview] =>

TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.

This instructor-led, live training (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of Spotfire Server and Spotfire Analyst

Navigating the Web Client

Managing Libraries

Collaborating with Spotfire

Creating Information Links to Access Data

Performing Advanced Visualizations

Beyond the GUI - Advanced Analysis through Expressions

Creating Property Controls

Integrating Statistical Engines

Data Relationships and Predictive Modeling

Multivariate Data Analysis

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037511 [source_title] => Advanced Data Analysis with TIBCO Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advspotfire ) [spotfire] => stdClass Object ( [course_code] => spotfire [hr_nid] => 316599 [title] => Introduction to Spotfire [requirements] =>

Audience

[overview] =>

TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.

This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

[outline] =>

Day 1

  1. Intoruduction
  2. Overview
  3. Adding Data Table (Flat-file, database) - different options
  4. Working with Information Links (optional, needed access to Spotfire Server and some test database)
  5. Data Wrangling
  6. Filtering, Marking, Table Relationship
  7. Visualization types (Table, Cross Table, Pie Chart, Bar Chart, Line Chart, Combination Chart, Waterflow Chart...)

Day 2

  1. Geo Visualizations - optional, if requested
  2. Calculated Columns
  3. Property Controls, Text Area
  4. Report Custom Styling (Corporate design)
  5. Spotfire Library Concepts, Report sharing and access concepts
  6. Web Player, Scheduled Updates
  7. Wrap up
[language] => en [duration] => 14 [status] => published [changed] => 1700037524 [source_title] => Introduction to Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfire ) [spotfirex] => stdClass Object ( [course_code] => spotfirex [hr_nid] => 388719 [title] => AI-Driven Data Analysis with TIBCO Spotfire X [requirements] =>

Audience

[overview] =>

TIBCO Spotfire X is a business intelligence and augmented analytics tool that combines natural language, artificial intelligence (AI), and streaming data technologies.

This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Loading Data

Processing Data

Visualizing Data

Troubleshooting

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037823 [source_title] => AI-Driven Data Analysis with TIBCO Spotfire X [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfirex ) [sqlpythonspotfire] => stdClass Object ( [course_code] => sqlpythonspotfire [hr_nid] => 295583 [title] => Data Analysis with SQL, Python and Spotfire [requirements] =>

Audience

[overview] =>

In this instructor-led, live training, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course

[category_overview] =>

In this instructor-led, live training in <loc>, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

[outline] =>

======== Day 01 ========

Introduction to RDMS (Relational Database Management System) 

How Data is Stored in an RDMS

Connecting to an Oracle database

Data Analysis with SQL

Introduction to Python

Connecting to an Oracle database

Data Analysis with Python

======== Day 02 ========

Introduction to Data Visualization with TIBCO Spotfire

Connecting to a Spotfire Server

Importing Data

Data Visualization

Filtering Data

Presentation Strategies with TIBCO Spotfire

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037455 [source_title] => Data Analysis with SQL, Python and Spotfire [source_language] => en [cert_code] => [weight] => -980 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => sqlpythonspotfire ) [tibcoeventdriven] => stdClass Object ( [course_code] => tibcoeventdriven [hr_nid] => 348099 [title] => TIBCO for Developers [requirements] =>

Audience

[overview] =>

TIBCO is a software suite for integrating, managing, and monitoring enterprise applications and information delivery. Two of its products, BusinessEvents (business rules engine) and ActiveMatrix Service Bus (lightweight enterprise service bus), are used for building and deploying event driven applications.  

This instructor-led, live training (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Event-Driven Software Development

Getting Started

Working with TIBCO BusinessEvents

Working with TIBCO ActiveMatrix Service Bus

Creating a Distributed Application

Deploying a Distributed Application

Managing a Distributed Application

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037669 [source_title] => TIBCO for Developers [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcoeventdriven ) [tibcostatistica] => stdClass Object ( [course_code] => tibcostatistica [hr_nid] => 358991 [title] => TIBCO Statistica [requirements] =>

Audience

[overview] =>

TIBCO Statistica is an advanced analytics system that provides data analysis, data management, data visualization, data mining, statistics, and machine learning solutions for businesses.

This instructor-led, live training (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of TIBCO Statistica Features

Getting Started with TIBCO Statistica

Exploring Data Analysis Capabilities

Exploring Statistics Basics

Managing Data Using TIBCO Statistica

Managing Statistica Settings and Projects

Working with Spreadsheets, Reports, and Macros

Exploring Advanced Analytics Topics

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037736 [source_title] => TIBCO Statistica [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcostatistica ) [grafana] => stdClass Object ( [course_code] => grafana [hr_nid] => 321915 [title] => Monitoring with Grafana [requirements] => [overview] =>

Grafana is a visualization and metric analytic suite. Grafana presents a visual representation of real-time data for application analytics. Grafana is most commonly used for home automation, process control, and more.

The aim of the course is to get familiar with modern data visualisation tool used for system monitoring - Grafana. The course is oriented for using Grafana in a time-series data environment. Participants will get both operational and administrative skills of day-to-day work with Grafana and most popular data sources like Prometheus and Graphite. In addition, Loki - a modern, Grafana-integrated approach for fetching and exploring logs is presented. The course is based on hands-on workshop that will take around 75% of the course time.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

By the end of this training, participants will be able to:

[outline] =>

1. Introduction to system monitoring and Grafana

2. Details of Grafana

3. Data sources

4. Deep dive into Grafana panels

5. Annotations and alerting

6. Explore and variables

7. Loki - Grafana log aggregation system

8. Grafana administration

[language] => en [duration] => 14 [status] => published [changed] => 1700037540 [source_title] => Monitoring with Grafana [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafana ) [grafanaadv] => stdClass Object ( [course_code] => grafanaadv [hr_nid] => 445083 [title] => Advanced Grafana [requirements] =>

Audience

[overview] =>

Grafana is a visualization and metric analytic suite that provides tools for creating a visual representation of real-time data for application analytics.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Templating and Variables

Advanced Querying Techniques

Alerting and Annotations

Customizing and Extending Grafana

Monitoring and Scaling Grafana

Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037965 [source_title] => Advanced Grafana [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaadv ) [grafanaglpi] => stdClass Object ( [course_code] => grafanaglpi [hr_nid] => 459659 [title] => Grafana and GLPI Administration [requirements] =>

Audience

[overview] =>

Grafana is an open-source platform for monitoring and observability that provides tools to create, explore, and share dashboards and alerts for your infrastructure and applications. GLPI, on the other hand, is an open-source IT asset management and helpdesk system that is used for tracking and managing IT resources, including hardware, software, and user support tickets.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Grafana Dashboard Creation

Advanced Grafana Administration

GLPI Helpdesk and Ticketing

Advanced GLPI Administration

Best Practices and Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700038004 [source_title] => Grafana and GLPI Administration [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaglpi ) [grafanagraphite] => stdClass Object ( [course_code] => grafanagraphite [hr_nid] => 332111 [title] => Grafana and Graphite [requirements] =>

Audience

[overview] =>

Grafana is an open source visualization and metric analytic suite for visualizing real-time data of application analytics. Graphite is an open source software for monitoring and graphing computer system data. Together with Grafana and Gaphite, users are able to quickly diagnose system issues and monitor system performance.

This instructor-led, live training (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Visualizing Application Performance

Preparing the Development Environment

Metrics Aggregation and Gathering

Grafana

Grafana and Gaphite

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037573 [source_title] => Grafana and Graphite [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanagraphite ) [advelasticsearchkibana] => stdClass Object ( [course_code] => advelasticsearchkibana [hr_nid] => 474635 [title] => Advanced Elasticsearch and Kibana Administration [requirements] =>

Audience

[overview] =>

Elasticsearch and Kibana are powerful tools for managing and visualizing data stored in Elasticsearch indices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Elasticsearch

Understanding Kibana

Advanced Elasticsearch Administration

Advanced Kibana Dashboard Development

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1710534518 [source_title] => Advanced Elasticsearch and Kibana Administration [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advelasticsearchkibana ) [elkforsysadmins] => stdClass Object ( [course_code] => elkforsysadmins [hr_nid] => 204641 [title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [requirements] =>

Audience

[overview] =>

This instructor-led, live training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana).

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

Format of the course

[category_overview] =>

This instructor-led, live training in <loc> is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

[outline] =>

Introduction

Elasticsearch

Overview:

Operate: Configuring & Deploying

Node: Discovery, Types, and Cluster State

Backup: Snapshot and Restore

Production Monitoring

Production Operational Best Practices

Logstash

Kibana

Filebeat

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1715349844 [source_title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => elkforsysadmins ) [kibana] => stdClass Object ( [course_code] => kibana [hr_nid] => 207517 [title] => Kibana: Essentials [requirements] =>

Delegates should have a prior experience with elasticsearch and system adminstration in order to attend this training.

[overview] =>

This training introduces Kibana to the users of Elasticsearch.

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

[category_overview] => [outline] =>

Setting up Prerequisites

Setting up Kibana

Using Kibana

Kibana: Dev Console

Kibana in Production

Management

Plugins

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037298 [source_title] => Kibana: Essentials [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => kibana ) [tidyverse] => stdClass Object ( [course_code] => tidyverse [hr_nid] => 212656 [title] => Introduction to Data Visualization with Tidyverse and R [requirements] => [overview] =>

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

Audience

Format of the course

[category_overview] => [outline] =>

Introduction

Setting up your working environment

Preparing the dataset

Importing and filtering data

Wrangling the data

Visualizing the data (graphs, scatter plots)

Grouping and summarizing the data

Visualizing the data (line plots, bar plots, histograms, boxplots)

Working with non-standard data

Closing remarks

[language] => en [duration] => 7 [status] => published [changed] => 1700037359 [source_title] => Introduction to Data Visualization with Tidyverse and R [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tidyverse ) [eviewsrisksim] => stdClass Object ( [course_code] => eviewsrisksim [hr_nid] => 426003 [title] => Econometrics: Eviews and Risk Simulator [requirements] =>

Audience

[overview] =>

Econometrics is the application of economic data and statistical methods to provide quantitative analysis of economic phenomena.

This instructor-led, live training (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

[outline] =>

Introduction

General Econometrics Concept

Regression Analysis

Time Series Analysis

Neural Networks

Financial Risk Modeling

Markov Chain and Montecarlo Simulation

Evaluating a Project

Summary and Next Steps

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[body] => Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data. [mc] => [is_mt] => 0 [nid] => 434003 ) ) [7] => 5 [8] => 1 [9] => 1 [10] => ) ) [4] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [5] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) Tableau Intermediate Training Course Training Course

Course Outline

  1. Connecting to datasources

    • Loading data into Tableau
    • Combining data tables – join
    • Combining data from different sources– merge
    • Extracting data to Tableau format
    • SQL queries
    • Managing data
    • Renaming data
    • Creating parameters (workbook variables)
    • Metadata

  2. Effective visualisations

    • What makes a good visualisation
    • Choosing the right chart
    • The role of colour in data storytelling
    • How to avoid misleading your audience
    • Best practices

  3. Calculations

    • Arithmetic calculations
    • Working with strings
    • Operations on dates and time
    • Array calculations
    • Conditional and logical expressions
    • Conditional filtering

  4. Processing Array Data

    • Difference between Excel and Tableau
    • Processing arrays in Tableau
    • Writing custom SQL statements

  5. Statistics

    • Adding reference and trend lines
    • Calculating descriptive measures
    • Subtotals
    • Aggregation and disaggregation
    • Forecasting

  6. Building effective dashboards

    • Combining visualizations
    • Formatting dashboards
    • Adding filters and actions to create interactive dashboards
    • Making an aesthetically pleasing dashboard
    • Best practices for creating dashboards

  7. Sharing dashboards

    • Publish to Tableau Reader
    • Publish to Tableau Server
    • Publish to PDF

Requirements

Recommended- attendance on the Tableau Fundamentals course (or similar level of experience)

 14 Hours

Number of participants



Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course

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Recommended- attendance on the Tableau Fundamentals course (or similar level of experience)

[overview] =>

Tableau helps people see and understand data.

[category_overview] => [outline] =>

  1. Connecting to datasources

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[language] => en [duration] => 14 [status] => published [changed] => 1700037488 [source_title] => Tableau Intermediate Training Course [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [1] => Array ( [0] => stdClass Object ( [tid] => 902 [alias] => statistics-training [name] => Statistics [english_name] => Statistics [consulting_option] => available ) [1] => stdClass Object ( [tid] => 1236 [alias] => tableau-training [name] => Tableau [english_name] => Tableau [consulting_option] => available ) [2] => stdClass Object ( [tid] => 1313 [alias] => data-visualization-training [name] => Data Visualization [english_name] => Data Visualization [consulting_option] => available ) ) [2] => tblint [3] => Array ( [outlines] => Array ( [advspotfire] => stdClass Object ( [course_code] => advspotfire [hr_nid] => 312571 [title] => Advanced Data Analysis with TIBCO Spotfire [requirements] =>

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[language] => en [duration] => 14 [status] => published [changed] => 1700037511 [source_title] => Advanced Data Analysis with TIBCO Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advspotfire ) [spotfire] => stdClass Object ( [course_code] => spotfire [hr_nid] => 316599 [title] => Introduction to Spotfire [requirements] =>

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[language] => en [duration] => 14 [status] => published [changed] => 1700037524 [source_title] => Introduction to Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfire ) [spotfirex] => stdClass Object ( [course_code] => spotfirex [hr_nid] => 388719 [title] => AI-Driven Data Analysis with TIBCO Spotfire X [requirements] =>

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[language] => en [duration] => 14 [status] => published [changed] => 1700037823 [source_title] => AI-Driven Data Analysis with TIBCO Spotfire X [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfirex ) [sqlpythonspotfire] => stdClass Object ( [course_code] => sqlpythonspotfire [hr_nid] => 295583 [title] => Data Analysis with SQL, Python and Spotfire [requirements] =>

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In this instructor-led, live training in <loc>, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

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Data Analysis with SQL

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[language] => en [duration] => 14 [status] => published [changed] => 1700037455 [source_title] => Data Analysis with SQL, Python and Spotfire [source_language] => en [cert_code] => [weight] => -980 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => sqlpythonspotfire ) [tibcoeventdriven] => stdClass Object ( [course_code] => tibcoeventdriven [hr_nid] => 348099 [title] => TIBCO for Developers [requirements] =>

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Exploring Advanced Analytics Topics

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037736 [source_title] => TIBCO Statistica [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcostatistica ) [grafana] => stdClass Object ( [course_code] => grafana [hr_nid] => 321915 [title] => Monitoring with Grafana [requirements] => [overview] =>

Grafana is a visualization and metric analytic suite. Grafana presents a visual representation of real-time data for application analytics. Grafana is most commonly used for home automation, process control, and more.

The aim of the course is to get familiar with modern data visualisation tool used for system monitoring - Grafana. The course is oriented for using Grafana in a time-series data environment. Participants will get both operational and administrative skills of day-to-day work with Grafana and most popular data sources like Prometheus and Graphite. In addition, Loki - a modern, Grafana-integrated approach for fetching and exploring logs is presented. The course is based on hands-on workshop that will take around 75% of the course time.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

By the end of this training, participants will be able to:

[outline] =>

1. Introduction to system monitoring and Grafana

2. Details of Grafana

3. Data sources

4. Deep dive into Grafana panels

5. Annotations and alerting

6. Explore and variables

7. Loki - Grafana log aggregation system

8. Grafana administration

[language] => en [duration] => 14 [status] => published [changed] => 1700037540 [source_title] => Monitoring with Grafana [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafana ) [grafanaadv] => stdClass Object ( [course_code] => grafanaadv [hr_nid] => 445083 [title] => Advanced Grafana [requirements] =>

Audience

[overview] =>

Grafana is a visualization and metric analytic suite that provides tools for creating a visual representation of real-time data for application analytics.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Templating and Variables

Advanced Querying Techniques

Alerting and Annotations

Customizing and Extending Grafana

Monitoring and Scaling Grafana

Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037965 [source_title] => Advanced Grafana [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaadv ) [grafanaglpi] => stdClass Object ( [course_code] => grafanaglpi [hr_nid] => 459659 [title] => Grafana and GLPI Administration [requirements] =>

Audience

[overview] =>

Grafana is an open-source platform for monitoring and observability that provides tools to create, explore, and share dashboards and alerts for your infrastructure and applications. GLPI, on the other hand, is an open-source IT asset management and helpdesk system that is used for tracking and managing IT resources, including hardware, software, and user support tickets.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Grafana Dashboard Creation

Advanced Grafana Administration

GLPI Helpdesk and Ticketing

Advanced GLPI Administration

Best Practices and Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700038004 [source_title] => Grafana and GLPI Administration [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaglpi ) [grafanagraphite] => stdClass Object ( [course_code] => grafanagraphite [hr_nid] => 332111 [title] => Grafana and Graphite [requirements] =>

Audience

[overview] =>

Grafana is an open source visualization and metric analytic suite for visualizing real-time data of application analytics. Graphite is an open source software for monitoring and graphing computer system data. Together with Grafana and Gaphite, users are able to quickly diagnose system issues and monitor system performance.

This instructor-led, live training (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Visualizing Application Performance

Preparing the Development Environment

Metrics Aggregation and Gathering

Grafana

Grafana and Gaphite

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037573 [source_title] => Grafana and Graphite [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanagraphite ) [advelasticsearchkibana] => stdClass Object ( [course_code] => advelasticsearchkibana [hr_nid] => 474635 [title] => Advanced Elasticsearch and Kibana Administration [requirements] =>

Audience

[overview] =>

Elasticsearch and Kibana are powerful tools for managing and visualizing data stored in Elasticsearch indices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Elasticsearch

Understanding Kibana

Advanced Elasticsearch Administration

Advanced Kibana Dashboard Development

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1710534518 [source_title] => Advanced Elasticsearch and Kibana Administration [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advelasticsearchkibana ) [elkforsysadmins] => stdClass Object ( [course_code] => elkforsysadmins [hr_nid] => 204641 [title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [requirements] =>

Audience

[overview] =>

This instructor-led, live training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana).

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

Format of the course

[category_overview] =>

This instructor-led, live training in <loc> is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

[outline] =>

Introduction

Elasticsearch

Overview:

Operate: Configuring & Deploying

Node: Discovery, Types, and Cluster State

Backup: Snapshot and Restore

Production Monitoring

Production Operational Best Practices

Logstash

Kibana

Filebeat

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1715349844 [source_title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => elkforsysadmins ) [kibana] => stdClass Object ( [course_code] => kibana [hr_nid] => 207517 [title] => Kibana: Essentials [requirements] =>

Delegates should have a prior experience with elasticsearch and system adminstration in order to attend this training.

[overview] =>

This training introduces Kibana to the users of Elasticsearch.

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

[category_overview] => [outline] =>

Setting up Prerequisites

Setting up Kibana

Using Kibana

Kibana: Dev Console

Kibana in Production

Management

Plugins

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037298 [source_title] => Kibana: Essentials [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => kibana ) [tidyverse] => stdClass Object ( [course_code] => tidyverse [hr_nid] => 212656 [title] => Introduction to Data Visualization with Tidyverse and R [requirements] => [overview] =>

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

Audience

Format of the course

[category_overview] => [outline] =>

Introduction

Setting up your working environment

Preparing the dataset

Importing and filtering data

Wrangling the data

Visualizing the data (graphs, scatter plots)

Grouping and summarizing the data

Visualizing the data (line plots, bar plots, histograms, boxplots)

Working with non-standard data

Closing remarks

[language] => en [duration] => 7 [status] => published [changed] => 1700037359 [source_title] => Introduction to Data Visualization with Tidyverse and R [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tidyverse ) [eviewsrisksim] => stdClass Object ( [course_code] => eviewsrisksim [hr_nid] => 426003 [title] => Econometrics: Eviews and Risk Simulator [requirements] =>

Audience

[overview] =>

Econometrics is the application of economic data and statistical methods to provide quantitative analysis of economic phenomena.

This instructor-led, live training (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

[outline] =>

Introduction

General Econometrics Concept

Regression Analysis

Time Series Analysis

Neural Networks

Financial Risk Modeling

Markov Chain and Montecarlo Simulation

Evaluating a Project

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037900 [source_title] => Econometrics: Eviews and Risk Simulator [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => eviewsrisksim ) ) [codes] => Array ( [0] => advspotfire [1] => spotfire [2] => spotfirex [3] => sqlpythonspotfire [4] => tibcoeventdriven [5] => tibcostatistica [6] => grafana [7] => grafanaadv [8] => grafanaglpi [9] => grafanagraphite [10] => advelasticsearchkibana [11] => elkforsysadmins [12] => kibana [13] => tidyverse [14] => eviewsrisksim ) ) [4] => Array ( [regions] => Array ( [ve_1805] => Array ( [tid] => ve_1805 [title] => Caracas [sales_area] => ve_venezuela [venues] => Array ( [ve_10638169] => Array ( [vid] => ve_10638169 [title] => Caracas - Centro Lido [vfdc] => 250.00 [prices] => Array ( [1] => Array ( [remote guaranteed] => 4350 [classroom guaranteed] => 4850 [remote guaranteed per delegate] => 4350 [delegates] => 1 [adp] => 750 [classroom guaranteed per delegate] => 4850 ) [2] => Array ( [remote guaranteed] => 5100 [classroom guaranteed] => 5750 [remote guaranteed per delegate] => 2550 [delegates] => 2 [adp] => 750 [classroom guaranteed per delegate] => 2875 ) [3] => Array ( [remote guaranteed] => 5850 [classroom guaranteed] => 6651 [remote guaranteed per delegate] => 1950 [delegates] => 3 [adp] => 750 [classroom guaranteed per delegate] => 2217 ) [4] => Array ( [remote guaranteed] => 6600 [classroom guaranteed] => 7552 [remote guaranteed per delegate] => 1650 [delegates] => 4 [adp] => 750 [classroom guaranteed per delegate] => 1888 ) [5] => Array ( [remote guaranteed] => 7350 [classroom guaranteed] => 8450 [remote guaranteed per delegate] => 1470 [delegates] => 5 [adp] => 750 [classroom guaranteed per delegate] => 1690 ) [6] => Array ( [remote guaranteed] => 8100 [classroom guaranteed] => 9348 [remote guaranteed per delegate] => 1350 [delegates] => 6 [adp] => 750 [classroom guaranteed per delegate] => 1558 ) [7] => Array ( [remote guaranteed] => 8848 [classroom guaranteed] => 10248 [remote guaranteed per delegate] => 1264 [delegates] => 7 [adp] => 750 [classroom guaranteed per delegate] => 1464 ) [8] => Array ( [remote guaranteed] => 9600 [classroom guaranteed] => 11152 [remote guaranteed per delegate] => 1200 [delegates] => 8 [adp] => 750 [classroom guaranteed per delegate] => 1394 ) [9] => Array ( [remote guaranteed] => 10350 [classroom guaranteed] => 12051 [remote guaranteed per delegate] => 1150 [delegates] => 9 [adp] => 750 [classroom guaranteed per delegate] => 1339 ) [10] => Array ( [remote guaranteed] => 11100 [classroom guaranteed] => 12950 [remote guaranteed per delegate] => 1110 [delegates] => 10 [adp] => 750 [classroom guaranteed per delegate] => 1295 ) ) ) ) ) ) [remote] => Array ( [1] => Array ( [remote guaranteed] => 4350 [remote guaranteed per delegate] => 4350 [adp] => 750 ) [2] => Array ( [remote guaranteed] => 5100 [remote guaranteed per delegate] => 2550 [adp] => 750 ) [3] => Array ( [remote guaranteed] => 5850 [remote guaranteed per delegate] => 1950 [adp] => 750 ) [4] => Array ( [remote guaranteed] => 6600 [remote guaranteed per delegate] => 1650 [adp] => 750 ) [5] => Array ( [remote guaranteed] => 7350 [remote guaranteed per delegate] => 1470 [adp] => 750 ) [6] => Array ( [remote guaranteed] => 8100 [remote guaranteed per delegate] => 1350 [adp] => 750 ) [7] => Array ( [remote guaranteed] => 8848 [remote guaranteed per delegate] => 1264 [adp] => 750 ) [8] => Array ( [remote guaranteed] => 9600 [remote guaranteed per delegate] => 1200 [adp] => 750 ) [9] => Array ( [remote guaranteed] => 10350 [remote guaranteed per delegate] => 1150 [adp] => 750 ) [10] => Array ( [remote guaranteed] => 11100 [remote guaranteed per delegate] => 1110 [adp] => 750 ) ) [currency] => USD ) [5] => Array ( [0] => 5 ) [6] => Array ( [434003] => Array ( [title] => Tableau Intermediate Training Course [rating] => 5 [delegate_and_company] => Julia Kuczma - DLA Piper GSC Poland Sp. z o.o. [body] => Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data. [mc] => [is_mt] => 0 [nid] => 434003 ) ) [7] => 5 [8] => 1 [9] => 1 [10] => ) ) [7] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [8] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [9] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [10] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "devel_domain" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "devel_domain" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7.module [line] => 99 [function] => variable_get [args] => Array ( [0] => devel_domain [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7_block.inc [line] => 34 [function] => islc_get_site_list [args] => Array ( ) ) [3] => Array ( [file] => /apps/nobleprog-website/nptemplates/default.php [line] => 265 [function] => islc7_sites_links_array_v3 [args] => Array ( ) ) [4] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 85 [args] => Array ( [0] => /apps/nobleprog-website/nptemplates/default.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 31 [function] => course_render [args] => Array ( [0] => Array ( [course_code] => tblint [hr_nid] => 308003 [title] => Tableau Intermediate Training Course [requirements] =>

Recommended- attendance on the Tableau Fundamentals course (or similar level of experience)

[overview] =>

Tableau helps people see and understand data.

[category_overview] => [outline] =>

  1. Connecting to datasources

  2. Effective visualisations

  3. Calculations

  4. Processing Array Data

  5. Statistics

  6. Building effective dashboards

  7. Sharing dashboards

[language] => en [duration] => 14 [status] => published [changed] => 1700037488 [source_title] => Tableau Intermediate Training Course [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [1] => Array ( [0] => stdClass Object ( [tid] => 902 [alias] => statistics-training [name] => Statistics [english_name] => Statistics [consulting_option] => available ) [1] => stdClass Object ( [tid] => 1236 [alias] => tableau-training [name] => Tableau [english_name] => Tableau [consulting_option] => available ) [2] => stdClass Object ( [tid] => 1313 [alias] => data-visualization-training [name] => Data Visualization [english_name] => Data Visualization [consulting_option] => available ) ) [2] => tblint [3] => Array ( [outlines] => Array ( [advspotfire] => stdClass Object ( [course_code] => advspotfire [hr_nid] => 312571 [title] => Advanced Data Analysis with TIBCO Spotfire [requirements] =>

Audience

[overview] =>

TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.

This instructor-led, live training (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of Spotfire Server and Spotfire Analyst

Navigating the Web Client

Managing Libraries

Collaborating with Spotfire

Creating Information Links to Access Data

Performing Advanced Visualizations

Beyond the GUI - Advanced Analysis through Expressions

Creating Property Controls

Integrating Statistical Engines

Data Relationships and Predictive Modeling

Multivariate Data Analysis

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037511 [source_title] => Advanced Data Analysis with TIBCO Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advspotfire ) [spotfire] => stdClass Object ( [course_code] => spotfire [hr_nid] => 316599 [title] => Introduction to Spotfire [requirements] =>

Audience

[overview] =>

TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.

This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

[outline] =>

Day 1

  1. Intoruduction
  2. Overview
  3. Adding Data Table (Flat-file, database) - different options
  4. Working with Information Links (optional, needed access to Spotfire Server and some test database)
  5. Data Wrangling
  6. Filtering, Marking, Table Relationship
  7. Visualization types (Table, Cross Table, Pie Chart, Bar Chart, Line Chart, Combination Chart, Waterflow Chart...)

Day 2

  1. Geo Visualizations - optional, if requested
  2. Calculated Columns
  3. Property Controls, Text Area
  4. Report Custom Styling (Corporate design)
  5. Spotfire Library Concepts, Report sharing and access concepts
  6. Web Player, Scheduled Updates
  7. Wrap up
[language] => en [duration] => 14 [status] => published [changed] => 1700037524 [source_title] => Introduction to Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfire ) [spotfirex] => stdClass Object ( [course_code] => spotfirex [hr_nid] => 388719 [title] => AI-Driven Data Analysis with TIBCO Spotfire X [requirements] =>

Audience

[overview] =>

TIBCO Spotfire X is a business intelligence and augmented analytics tool that combines natural language, artificial intelligence (AI), and streaming data technologies.

This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Loading Data

Processing Data

Visualizing Data

Troubleshooting

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037823 [source_title] => AI-Driven Data Analysis with TIBCO Spotfire X [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfirex ) [sqlpythonspotfire] => stdClass Object ( [course_code] => sqlpythonspotfire [hr_nid] => 295583 [title] => Data Analysis with SQL, Python and Spotfire [requirements] =>

Audience

[overview] =>

In this instructor-led, live training, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course

[category_overview] =>

In this instructor-led, live training in <loc>, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

[outline] =>

======== Day 01 ========

Introduction to RDMS (Relational Database Management System) 

How Data is Stored in an RDMS

Connecting to an Oracle database

Data Analysis with SQL

Introduction to Python

Connecting to an Oracle database

Data Analysis with Python

======== Day 02 ========

Introduction to Data Visualization with TIBCO Spotfire

Connecting to a Spotfire Server

Importing Data

Data Visualization

Filtering Data

Presentation Strategies with TIBCO Spotfire

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037455 [source_title] => Data Analysis with SQL, Python and Spotfire [source_language] => en [cert_code] => [weight] => -980 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => sqlpythonspotfire ) [tibcoeventdriven] => stdClass Object ( [course_code] => tibcoeventdriven [hr_nid] => 348099 [title] => TIBCO for Developers [requirements] =>

Audience

[overview] =>

TIBCO is a software suite for integrating, managing, and monitoring enterprise applications and information delivery. Two of its products, BusinessEvents (business rules engine) and ActiveMatrix Service Bus (lightweight enterprise service bus), are used for building and deploying event driven applications.  

This instructor-led, live training (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Event-Driven Software Development

Getting Started

Working with TIBCO BusinessEvents

Working with TIBCO ActiveMatrix Service Bus

Creating a Distributed Application

Deploying a Distributed Application

Managing a Distributed Application

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037669 [source_title] => TIBCO for Developers [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcoeventdriven ) [tibcostatistica] => stdClass Object ( [course_code] => tibcostatistica [hr_nid] => 358991 [title] => TIBCO Statistica [requirements] =>

Audience

[overview] =>

TIBCO Statistica is an advanced analytics system that provides data analysis, data management, data visualization, data mining, statistics, and machine learning solutions for businesses.

This instructor-led, live training (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of TIBCO Statistica Features

Getting Started with TIBCO Statistica

Exploring Data Analysis Capabilities

Exploring Statistics Basics

Managing Data Using TIBCO Statistica

Managing Statistica Settings and Projects

Working with Spreadsheets, Reports, and Macros

Exploring Advanced Analytics Topics

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037736 [source_title] => TIBCO Statistica [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcostatistica ) [grafana] => stdClass Object ( [course_code] => grafana [hr_nid] => 321915 [title] => Monitoring with Grafana [requirements] => [overview] =>

Grafana is a visualization and metric analytic suite. Grafana presents a visual representation of real-time data for application analytics. Grafana is most commonly used for home automation, process control, and more.

The aim of the course is to get familiar with modern data visualisation tool used for system monitoring - Grafana. The course is oriented for using Grafana in a time-series data environment. Participants will get both operational and administrative skills of day-to-day work with Grafana and most popular data sources like Prometheus and Graphite. In addition, Loki - a modern, Grafana-integrated approach for fetching and exploring logs is presented. The course is based on hands-on workshop that will take around 75% of the course time.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

By the end of this training, participants will be able to:

[outline] =>

1. Introduction to system monitoring and Grafana

2. Details of Grafana

3. Data sources

4. Deep dive into Grafana panels

5. Annotations and alerting

6. Explore and variables

7. Loki - Grafana log aggregation system

8. Grafana administration

[language] => en [duration] => 14 [status] => published [changed] => 1700037540 [source_title] => Monitoring with Grafana [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafana ) [grafanaadv] => stdClass Object ( [course_code] => grafanaadv [hr_nid] => 445083 [title] => Advanced Grafana [requirements] =>

Audience

[overview] =>

Grafana is a visualization and metric analytic suite that provides tools for creating a visual representation of real-time data for application analytics.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Templating and Variables

Advanced Querying Techniques

Alerting and Annotations

Customizing and Extending Grafana

Monitoring and Scaling Grafana

Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037965 [source_title] => Advanced Grafana [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaadv ) [grafanaglpi] => stdClass Object ( [course_code] => grafanaglpi [hr_nid] => 459659 [title] => Grafana and GLPI Administration [requirements] =>

Audience

[overview] =>

Grafana is an open-source platform for monitoring and observability that provides tools to create, explore, and share dashboards and alerts for your infrastructure and applications. GLPI, on the other hand, is an open-source IT asset management and helpdesk system that is used for tracking and managing IT resources, including hardware, software, and user support tickets.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Grafana Dashboard Creation

Advanced Grafana Administration

GLPI Helpdesk and Ticketing

Advanced GLPI Administration

Best Practices and Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700038004 [source_title] => Grafana and GLPI Administration [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaglpi ) [grafanagraphite] => stdClass Object ( [course_code] => grafanagraphite [hr_nid] => 332111 [title] => Grafana and Graphite [requirements] =>

Audience

[overview] =>

Grafana is an open source visualization and metric analytic suite for visualizing real-time data of application analytics. Graphite is an open source software for monitoring and graphing computer system data. Together with Grafana and Gaphite, users are able to quickly diagnose system issues and monitor system performance.

This instructor-led, live training (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Visualizing Application Performance

Preparing the Development Environment

Metrics Aggregation and Gathering

Grafana

Grafana and Gaphite

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037573 [source_title] => Grafana and Graphite [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanagraphite ) [advelasticsearchkibana] => stdClass Object ( [course_code] => advelasticsearchkibana [hr_nid] => 474635 [title] => Advanced Elasticsearch and Kibana Administration [requirements] =>

Audience

[overview] =>

Elasticsearch and Kibana are powerful tools for managing and visualizing data stored in Elasticsearch indices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Elasticsearch

Understanding Kibana

Advanced Elasticsearch Administration

Advanced Kibana Dashboard Development

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1710534518 [source_title] => Advanced Elasticsearch and Kibana Administration [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advelasticsearchkibana ) [elkforsysadmins] => stdClass Object ( [course_code] => elkforsysadmins [hr_nid] => 204641 [title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [requirements] =>

Audience

[overview] =>

This instructor-led, live training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana).

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

Format of the course

[category_overview] =>

This instructor-led, live training in <loc> is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

[outline] =>

Introduction

Elasticsearch

Overview:

Operate: Configuring & Deploying

Node: Discovery, Types, and Cluster State

Backup: Snapshot and Restore

Production Monitoring

Production Operational Best Practices

Logstash

Kibana

Filebeat

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1715349844 [source_title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => elkforsysadmins ) [kibana] => stdClass Object ( [course_code] => kibana [hr_nid] => 207517 [title] => Kibana: Essentials [requirements] =>

Delegates should have a prior experience with elasticsearch and system adminstration in order to attend this training.

[overview] =>

This training introduces Kibana to the users of Elasticsearch.

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

[category_overview] => [outline] =>

Setting up Prerequisites

Setting up Kibana

Using Kibana

Kibana: Dev Console

Kibana in Production

Management

Plugins

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037298 [source_title] => Kibana: Essentials [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => kibana ) [tidyverse] => stdClass Object ( [course_code] => tidyverse [hr_nid] => 212656 [title] => Introduction to Data Visualization with Tidyverse and R [requirements] => [overview] =>

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

Audience

Format of the course

[category_overview] => [outline] =>

Introduction

Setting up your working environment

Preparing the dataset

Importing and filtering data

Wrangling the data

Visualizing the data (graphs, scatter plots)

Grouping and summarizing the data

Visualizing the data (line plots, bar plots, histograms, boxplots)

Working with non-standard data

Closing remarks

[language] => en [duration] => 7 [status] => published [changed] => 1700037359 [source_title] => Introduction to Data Visualization with Tidyverse and R [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tidyverse ) [eviewsrisksim] => stdClass Object ( [course_code] => eviewsrisksim [hr_nid] => 426003 [title] => Econometrics: Eviews and Risk Simulator [requirements] =>

Audience

[overview] =>

Econometrics is the application of economic data and statistical methods to provide quantitative analysis of economic phenomena.

This instructor-led, live training (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

[outline] =>

Introduction

General Econometrics Concept

Regression Analysis

Time Series Analysis

Neural Networks

Financial Risk Modeling

Markov Chain and Montecarlo Simulation

Evaluating a Project

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037900 [source_title] => Econometrics: Eviews and Risk Simulator [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => eviewsrisksim ) ) [codes] => Array ( [0] => advspotfire [1] => spotfire [2] => spotfirex [3] => sqlpythonspotfire [4] => tibcoeventdriven [5] => tibcostatistica [6] => grafana [7] => grafanaadv [8] => grafanaglpi [9] => grafanagraphite [10] => advelasticsearchkibana [11] => elkforsysadmins [12] => kibana [13] => tidyverse [14] => eviewsrisksim ) ) [4] => Array ( [regions] => Array ( [ve_1805] => Array ( [tid] => ve_1805 [title] => Caracas [sales_area] => ve_venezuela [venues] => Array ( [ve_10638169] => Array ( [vid] => ve_10638169 [title] => Caracas - Centro Lido [vfdc] => 250.00 [prices] => Array ( [1] => Array ( [remote guaranteed] => 4350 [classroom guaranteed] => 4850 [remote guaranteed per delegate] => 4350 [delegates] => 1 [adp] => 750 [classroom guaranteed per delegate] => 4850 ) [2] => Array ( [remote guaranteed] => 5100 [classroom guaranteed] => 5750 [remote guaranteed per delegate] => 2550 [delegates] => 2 [adp] => 750 [classroom guaranteed per delegate] => 2875 ) [3] => Array ( [remote guaranteed] => 5850 [classroom guaranteed] => 6651 [remote guaranteed per delegate] => 1950 [delegates] => 3 [adp] => 750 [classroom guaranteed per delegate] => 2217 ) [4] => Array ( [remote guaranteed] => 6600 [classroom guaranteed] => 7552 [remote guaranteed per delegate] => 1650 [delegates] => 4 [adp] => 750 [classroom guaranteed per delegate] => 1888 ) [5] => Array ( [remote guaranteed] => 7350 [classroom guaranteed] => 8450 [remote guaranteed per delegate] => 1470 [delegates] => 5 [adp] => 750 [classroom guaranteed per delegate] => 1690 ) [6] => Array ( [remote guaranteed] => 8100 [classroom guaranteed] => 9348 [remote guaranteed per delegate] => 1350 [delegates] => 6 [adp] => 750 [classroom guaranteed per delegate] => 1558 ) [7] => Array ( [remote guaranteed] => 8848 [classroom guaranteed] => 10248 [remote guaranteed per delegate] => 1264 [delegates] => 7 [adp] => 750 [classroom guaranteed per delegate] => 1464 ) [8] => Array ( [remote guaranteed] => 9600 [classroom guaranteed] => 11152 [remote guaranteed per delegate] => 1200 [delegates] => 8 [adp] => 750 [classroom guaranteed per delegate] => 1394 ) [9] => Array ( [remote guaranteed] => 10350 [classroom guaranteed] => 12051 [remote guaranteed per delegate] => 1150 [delegates] => 9 [adp] => 750 [classroom guaranteed per delegate] => 1339 ) [10] => Array ( [remote guaranteed] => 11100 [classroom guaranteed] => 12950 [remote guaranteed per delegate] => 1110 [delegates] => 10 [adp] => 750 [classroom guaranteed per delegate] => 1295 ) ) ) ) ) ) [remote] => Array ( [1] => Array ( [remote guaranteed] => 4350 [remote guaranteed per delegate] => 4350 [adp] => 750 ) [2] => Array ( [remote guaranteed] => 5100 [remote guaranteed per delegate] => 2550 [adp] => 750 ) [3] => Array ( [remote guaranteed] => 5850 [remote guaranteed per delegate] => 1950 [adp] => 750 ) [4] => Array ( [remote guaranteed] => 6600 [remote guaranteed per delegate] => 1650 [adp] => 750 ) [5] => Array ( [remote guaranteed] => 7350 [remote guaranteed per delegate] => 1470 [adp] => 750 ) [6] => Array ( [remote guaranteed] => 8100 [remote guaranteed per delegate] => 1350 [adp] => 750 ) [7] => Array ( [remote guaranteed] => 8848 [remote guaranteed per delegate] => 1264 [adp] => 750 ) [8] => Array ( [remote guaranteed] => 9600 [remote guaranteed per delegate] => 1200 [adp] => 750 ) [9] => Array ( [remote guaranteed] => 10350 [remote guaranteed per delegate] => 1150 [adp] => 750 ) [10] => Array ( [remote guaranteed] => 11100 [remote guaranteed per delegate] => 1110 [adp] => 750 ) ) [currency] => USD ) [5] => Array ( [0] => 5 ) [6] => Array ( [434003] => Array ( [title] => Tableau Intermediate Training Course [rating] => 5 [delegate_and_company] => Julia Kuczma - DLA Piper GSC Poland Sp. z o.o. [body] => Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data. [mc] => [is_mt] => 0 [nid] => 434003 ) ) [7] => 5 [8] => 1 [9] => 1 [10] => ) ) [6] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [7] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [8] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [9] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/en/cc/tblint Undefined array key "nobleprog_site_production_url" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "nobleprog_site_production_url" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7.module [line] => 131 [function] => variable_get [args] => Array ( [0] => nobleprog_site_production_url ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7_block.inc [line] => 44 [function] => islc_get_current_site [args] => Array ( ) ) [3] => Array ( [file] => /apps/nobleprog-website/nptemplates/default.php [line] => 265 [function] => islc7_sites_links_array_v3 [args] => Array ( ) ) [4] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 85 [args] => Array ( [0] => /apps/nobleprog-website/nptemplates/default.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 31 [function] => course_render [args] => Array ( [0] => Array ( [course_code] => tblint [hr_nid] => 308003 [title] => Tableau Intermediate Training Course [requirements] =>

Recommended- attendance on the Tableau Fundamentals course (or similar level of experience)

[overview] =>

Tableau helps people see and understand data.

[category_overview] => [outline] =>

  1. Connecting to datasources

  2. Effective visualisations

  3. Calculations

  4. Processing Array Data

  5. Statistics

  6. Building effective dashboards

  7. Sharing dashboards

[language] => en [duration] => 14 [status] => published [changed] => 1700037488 [source_title] => Tableau Intermediate Training Course [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [1] => Array ( [0] => stdClass Object ( [tid] => 902 [alias] => statistics-training [name] => Statistics [english_name] => Statistics [consulting_option] => available ) [1] => stdClass Object ( [tid] => 1236 [alias] => tableau-training [name] => Tableau [english_name] => Tableau [consulting_option] => available ) [2] => stdClass Object ( [tid] => 1313 [alias] => data-visualization-training [name] => Data Visualization [english_name] => Data Visualization [consulting_option] => available ) ) [2] => tblint [3] => Array ( [outlines] => Array ( [advspotfire] => stdClass Object ( [course_code] => advspotfire [hr_nid] => 312571 [title] => Advanced Data Analysis with TIBCO Spotfire [requirements] =>

Audience

[overview] =>

TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.

This instructor-led, live training (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of Spotfire Server and Spotfire Analyst

Navigating the Web Client

Managing Libraries

Collaborating with Spotfire

Creating Information Links to Access Data

Performing Advanced Visualizations

Beyond the GUI - Advanced Analysis through Expressions

Creating Property Controls

Integrating Statistical Engines

Data Relationships and Predictive Modeling

Multivariate Data Analysis

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037511 [source_title] => Advanced Data Analysis with TIBCO Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advspotfire ) [spotfire] => stdClass Object ( [course_code] => spotfire [hr_nid] => 316599 [title] => Introduction to Spotfire [requirements] =>

Audience

[overview] =>

TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.

This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

[outline] =>

Day 1

  1. Intoruduction
  2. Overview
  3. Adding Data Table (Flat-file, database) - different options
  4. Working with Information Links (optional, needed access to Spotfire Server and some test database)
  5. Data Wrangling
  6. Filtering, Marking, Table Relationship
  7. Visualization types (Table, Cross Table, Pie Chart, Bar Chart, Line Chart, Combination Chart, Waterflow Chart...)

Day 2

  1. Geo Visualizations - optional, if requested
  2. Calculated Columns
  3. Property Controls, Text Area
  4. Report Custom Styling (Corporate design)
  5. Spotfire Library Concepts, Report sharing and access concepts
  6. Web Player, Scheduled Updates
  7. Wrap up
[language] => en [duration] => 14 [status] => published [changed] => 1700037524 [source_title] => Introduction to Spotfire [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfire ) [spotfirex] => stdClass Object ( [course_code] => spotfirex [hr_nid] => 388719 [title] => AI-Driven Data Analysis with TIBCO Spotfire X [requirements] =>

Audience

[overview] =>

TIBCO Spotfire X is a business intelligence and augmented analytics tool that combines natural language, artificial intelligence (AI), and streaming data technologies.

This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Loading Data

Processing Data

Visualizing Data

Troubleshooting

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037823 [source_title] => AI-Driven Data Analysis with TIBCO Spotfire X [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => spotfirex ) [sqlpythonspotfire] => stdClass Object ( [course_code] => sqlpythonspotfire [hr_nid] => 295583 [title] => Data Analysis with SQL, Python and Spotfire [requirements] =>

Audience

[overview] =>

In this instructor-led, live training, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course

[category_overview] =>

In this instructor-led, live training in <loc>, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

[outline] =>

======== Day 01 ========

Introduction to RDMS (Relational Database Management System) 

How Data is Stored in an RDMS

Connecting to an Oracle database

Data Analysis with SQL

Introduction to Python

Connecting to an Oracle database

Data Analysis with Python

======== Day 02 ========

Introduction to Data Visualization with TIBCO Spotfire

Connecting to a Spotfire Server

Importing Data

Data Visualization

Filtering Data

Presentation Strategies with TIBCO Spotfire

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037455 [source_title] => Data Analysis with SQL, Python and Spotfire [source_language] => en [cert_code] => [weight] => -980 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => sqlpythonspotfire ) [tibcoeventdriven] => stdClass Object ( [course_code] => tibcoeventdriven [hr_nid] => 348099 [title] => TIBCO for Developers [requirements] =>

Audience

[overview] =>

TIBCO is a software suite for integrating, managing, and monitoring enterprise applications and information delivery. Two of its products, BusinessEvents (business rules engine) and ActiveMatrix Service Bus (lightweight enterprise service bus), are used for building and deploying event driven applications.  

This instructor-led, live training (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Event-Driven Software Development

Getting Started

Working with TIBCO BusinessEvents

Working with TIBCO ActiveMatrix Service Bus

Creating a Distributed Application

Deploying a Distributed Application

Managing a Distributed Application

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037669 [source_title] => TIBCO for Developers [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcoeventdriven ) [tibcostatistica] => stdClass Object ( [course_code] => tibcostatistica [hr_nid] => 358991 [title] => TIBCO Statistica [requirements] =>

Audience

[overview] =>

TIBCO Statistica is an advanced analytics system that provides data analysis, data management, data visualization, data mining, statistics, and machine learning solutions for businesses.

This instructor-led, live training (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of TIBCO Statistica Features

Getting Started with TIBCO Statistica

Exploring Data Analysis Capabilities

Exploring Statistics Basics

Managing Data Using TIBCO Statistica

Managing Statistica Settings and Projects

Working with Spreadsheets, Reports, and Macros

Exploring Advanced Analytics Topics

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037736 [source_title] => TIBCO Statistica [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tibcostatistica ) [grafana] => stdClass Object ( [course_code] => grafana [hr_nid] => 321915 [title] => Monitoring with Grafana [requirements] => [overview] =>

Grafana is a visualization and metric analytic suite. Grafana presents a visual representation of real-time data for application analytics. Grafana is most commonly used for home automation, process control, and more.

The aim of the course is to get familiar with modern data visualisation tool used for system monitoring - Grafana. The course is oriented for using Grafana in a time-series data environment. Participants will get both operational and administrative skills of day-to-day work with Grafana and most popular data sources like Prometheus and Graphite. In addition, Loki - a modern, Grafana-integrated approach for fetching and exploring logs is presented. The course is based on hands-on workshop that will take around 75% of the course time.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

By the end of this training, participants will be able to:

[outline] =>

1. Introduction to system monitoring and Grafana

2. Details of Grafana

3. Data sources

4. Deep dive into Grafana panels

5. Annotations and alerting

6. Explore and variables

7. Loki - Grafana log aggregation system

8. Grafana administration

[language] => en [duration] => 14 [status] => published [changed] => 1700037540 [source_title] => Monitoring with Grafana [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafana ) [grafanaadv] => stdClass Object ( [course_code] => grafanaadv [hr_nid] => 445083 [title] => Advanced Grafana [requirements] =>

Audience

[overview] =>

Grafana is a visualization and metric analytic suite that provides tools for creating a visual representation of real-time data for application analytics.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Templating and Variables

Advanced Querying Techniques

Alerting and Annotations

Customizing and Extending Grafana

Monitoring and Scaling Grafana

Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037965 [source_title] => Advanced Grafana [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaadv ) [grafanaglpi] => stdClass Object ( [course_code] => grafanaglpi [hr_nid] => 459659 [title] => Grafana and GLPI Administration [requirements] =>

Audience

[overview] =>

Grafana is an open-source platform for monitoring and observability that provides tools to create, explore, and share dashboards and alerts for your infrastructure and applications. GLPI, on the other hand, is an open-source IT asset management and helpdesk system that is used for tracking and managing IT resources, including hardware, software, and user support tickets.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Getting Started

Grafana Dashboard Creation

Advanced Grafana Administration

GLPI Helpdesk and Ticketing

Advanced GLPI Administration

Best Practices and Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700038004 [source_title] => Grafana and GLPI Administration [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanaglpi ) [grafanagraphite] => stdClass Object ( [course_code] => grafanagraphite [hr_nid] => 332111 [title] => Grafana and Graphite [requirements] =>

Audience

[overview] =>

Grafana is an open source visualization and metric analytic suite for visualizing real-time data of application analytics. Graphite is an open source software for monitoring and graphing computer system data. Together with Grafana and Gaphite, users are able to quickly diagnose system issues and monitor system performance.

This instructor-led, live training (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Visualizing Application Performance

Preparing the Development Environment

Metrics Aggregation and Gathering

Grafana

Grafana and Gaphite

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037573 [source_title] => Grafana and Graphite [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => grafanagraphite ) [advelasticsearchkibana] => stdClass Object ( [course_code] => advelasticsearchkibana [hr_nid] => 474635 [title] => Advanced Elasticsearch and Kibana Administration [requirements] =>

Audience

[overview] =>

Elasticsearch and Kibana are powerful tools for managing and visualizing data stored in Elasticsearch indices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Elasticsearch

Understanding Kibana

Advanced Elasticsearch Administration

Advanced Kibana Dashboard Development

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1710534518 [source_title] => Advanced Elasticsearch and Kibana Administration [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => advelasticsearchkibana ) [elkforsysadmins] => stdClass Object ( [course_code] => elkforsysadmins [hr_nid] => 204641 [title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [requirements] =>

Audience

[overview] =>

This instructor-led, live training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana).

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

Format of the course

[category_overview] =>

This instructor-led, live training in <loc> is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

[outline] =>

Introduction

Elasticsearch

Overview:

Operate: Configuring & Deploying

Node: Discovery, Types, and Cluster State

Backup: Snapshot and Restore

Production Monitoring

Production Operational Best Practices

Logstash

Kibana

Filebeat

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1715349844 [source_title] => ELK: Elasticsearch, Logstash and Kibana for Administrators [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => elkforsysadmins ) [kibana] => stdClass Object ( [course_code] => kibana [hr_nid] => 207517 [title] => Kibana: Essentials [requirements] =>

Delegates should have a prior experience with elasticsearch and system adminstration in order to attend this training.

[overview] =>

This training introduces Kibana to the users of Elasticsearch.

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

[category_overview] => [outline] =>

Setting up Prerequisites

Setting up Kibana

Using Kibana

Kibana: Dev Console

Kibana in Production

Management

Plugins

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037298 [source_title] => Kibana: Essentials [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => kibana ) [tidyverse] => stdClass Object ( [course_code] => tidyverse [hr_nid] => 212656 [title] => Introduction to Data Visualization with Tidyverse and R [requirements] => [overview] =>

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

Audience

Format of the course

[category_overview] => [outline] =>

Introduction

Setting up your working environment

Preparing the dataset

Importing and filtering data

Wrangling the data

Visualizing the data (graphs, scatter plots)

Grouping and summarizing the data

Visualizing the data (line plots, bar plots, histograms, boxplots)

Working with non-standard data

Closing remarks

[language] => en [duration] => 7 [status] => published [changed] => 1700037359 [source_title] => Introduction to Data Visualization with Tidyverse and R [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => tidyverse ) [eviewsrisksim] => stdClass Object ( [course_code] => eviewsrisksim [hr_nid] => 426003 [title] => Econometrics: Eviews and Risk Simulator [requirements] =>

Audience

[overview] =>

Econometrics is the application of economic data and statistical methods to provide quantitative analysis of economic phenomena.

This instructor-led, live training (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

By the end of this training, participants will be able to:

[outline] =>

Introduction

General Econometrics Concept

Regression Analysis

Time Series Analysis

Neural Networks

Financial Risk Modeling

Markov Chain and Montecarlo Simulation

Evaluating a Project

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037900 [source_title] => Econometrics: Eviews and Risk Simulator [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => eviewsrisksim ) ) [codes] => Array ( [0] => advspotfire [1] => spotfire [2] => spotfirex [3] => sqlpythonspotfire [4] => tibcoeventdriven [5] => tibcostatistica [6] => grafana [7] => grafanaadv [8] => grafanaglpi [9] => grafanagraphite [10] => advelasticsearchkibana [11] => elkforsysadmins [12] => kibana [13] => tidyverse [14] => eviewsrisksim ) ) [4] => Array ( [regions] => Array ( [ve_1805] => Array ( [tid] => ve_1805 [title] => Caracas [sales_area] => ve_venezuela [venues] => Array ( [ve_10638169] => Array ( [vid] => ve_10638169 [title] => Caracas - Centro Lido [vfdc] => 250.00 [prices] => Array ( [1] => Array ( [remote guaranteed] => 4350 [classroom guaranteed] => 4850 [remote guaranteed per delegate] => 4350 [delegates] => 1 [adp] => 750 [classroom guaranteed per delegate] => 4850 ) [2] => Array ( [remote guaranteed] => 5100 [classroom guaranteed] => 5750 [remote guaranteed per delegate] => 2550 [delegates] => 2 [adp] => 750 [classroom guaranteed per delegate] => 2875 ) [3] => Array ( [remote guaranteed] => 5850 [classroom guaranteed] => 6651 [remote guaranteed per delegate] => 1950 [delegates] => 3 [adp] => 750 [classroom guaranteed per delegate] => 2217 ) [4] => Array ( [remote guaranteed] => 6600 [classroom guaranteed] => 7552 [remote guaranteed per delegate] => 1650 [delegates] => 4 [adp] => 750 [classroom guaranteed per delegate] => 1888 ) [5] => Array ( [remote guaranteed] => 7350 [classroom guaranteed] => 8450 [remote guaranteed per delegate] => 1470 [delegates] => 5 [adp] => 750 [classroom guaranteed per delegate] => 1690 ) [6] => Array ( [remote guaranteed] => 8100 [classroom guaranteed] => 9348 [remote guaranteed per delegate] => 1350 [delegates] => 6 [adp] => 750 [classroom guaranteed per delegate] => 1558 ) [7] => Array ( [remote guaranteed] => 8848 [classroom guaranteed] => 10248 [remote guaranteed per delegate] => 1264 [delegates] => 7 [adp] => 750 [classroom guaranteed per delegate] => 1464 ) [8] => Array ( [remote guaranteed] => 9600 [classroom guaranteed] => 11152 [remote guaranteed per delegate] => 1200 [delegates] => 8 [adp] => 750 [classroom guaranteed per delegate] => 1394 ) [9] => Array ( [remote guaranteed] => 10350 [classroom guaranteed] => 12051 [remote guaranteed per delegate] => 1150 [delegates] => 9 [adp] => 750 [classroom guaranteed per delegate] => 1339 ) [10] => Array ( [remote guaranteed] => 11100 [classroom guaranteed] => 12950 [remote guaranteed per delegate] => 1110 [delegates] => 10 [adp] => 750 [classroom guaranteed per delegate] => 1295 ) ) ) ) ) ) [remote] => Array ( [1] => Array ( [remote guaranteed] => 4350 [remote guaranteed per delegate] => 4350 [adp] => 750 ) [2] => Array ( [remote guaranteed] => 5100 [remote guaranteed per delegate] => 2550 [adp] => 750 ) [3] => Array ( [remote guaranteed] => 5850 [remote guaranteed per delegate] => 1950 [adp] => 750 ) [4] => Array ( [remote guaranteed] => 6600 [remote guaranteed per delegate] => 1650 [adp] => 750 ) [5] => Array ( [remote guaranteed] => 7350 [remote guaranteed per delegate] => 1470 [adp] => 750 ) [6] => Array ( [remote guaranteed] => 8100 [remote guaranteed per delegate] => 1350 [adp] => 750 ) [7] => Array ( [remote guaranteed] => 8848 [remote guaranteed per delegate] => 1264 [adp] => 750 ) [8] => Array ( [remote guaranteed] => 9600 [remote guaranteed per delegate] => 1200 [adp] => 750 ) [9] => Array ( [remote guaranteed] => 10350 [remote guaranteed per delegate] => 1150 [adp] => 750 ) [10] => Array ( [remote guaranteed] => 11100 [remote guaranteed per delegate] => 1110 [adp] => 750 ) ) [currency] => USD ) [5] => Array ( [0] => 5 ) [6] => Array ( [434003] => Array ( [title] => Tableau Intermediate Training Course [rating] => 5 [delegate_and_company] => Julia Kuczma - DLA Piper GSC Poland Sp. z o.o. [body] => Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data. [mc] => [is_mt] => 0 [nid] => 434003 ) ) [7] => 5 [8] => 1 [9] => 1 [10] => ) ) [6] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /en/cc/tblint ) ) [7] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [8] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [9] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) )