Online or onsite, instructor-led live R (R Language) training courses demonstrate through hands-on practice various aspects of the R language, including the fundamentals of R programming, advanced R programming and R for Data Analysis and Data Visualization. Our training exercises touch on real-world problems and solutions in areas such as Finance, Banking and Insurance. NobleProg R training courses range from beginner courses to advanced courses and are popular among companies wishing to adopt R for developing Machine Learning and Deep Learning applications.
R training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Caracas onsite live R Language trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Caracas - Centro Lido
Av. Francisco de Miranda, Centro Lido, Torre D, Caracas, venezuela, 1060
The Center is located ten minutes from the Francisco Fajardo Highway that leads to the local airport and only two blocks from the subway station in the main financial district of Caracas.
This instructor-led training in Caracas covers R Markdown fundamentals for dynamic, reproducible reports. It equips R users to create code-chunk documents, render outputs to HTML, PDF, and Word, and apply parameterized reports, themes, and LaTeX styling for professional, automated documentation.
This instructor-led, live training in Caracas (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.
By the end of this training, participants will be able to:
Perform data analysis using Python, R, and SQL.
Create insights through data visualization with Tableau.
Make data-driven decisions for business operations.
This instructor-led, live training in Caracas (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.
By the end of this training, participants will be able to:
Understand the basics of Python, R, Power Query, and Power BI for data analysis.
Clean and organize datasets using Python and Power Query.
Perform statistical analysis and projections with R.
Create professional dashboards and reports with Power BI.
Integrate and analyze data from multiple sources effectively.
This instructor-led Shiny training in Caracas empowers intermediate R users to build interactive web apps without JavaScript. Learn to design reactive UIs, integrate data visualizations, and deploy applications. Gain hands-on skills for creating dynamic dashboards and reports efficiently.
This instructor-led, live training in Caracas (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.
By the end of this training, participants will be able to:
Effectively use Stata for data analysis and statistical modeling.
Compare Stata’s functionalities with SPSS and R.
Integrate Stata with R for seamless statistical computing.
This hands-on course in Caracas covers R fundamentals, data preparation, and visualization using packages like ggplot2. Over three days, participants explore statistical modeling, regression, and machine learning techniques such as clustering and classification with real-world data.
This practical course in Caracas builds foundational data analytics skills using Excel, VBA, and R. Participants will learn data manipulation, visualization, and machine learning techniques to forecast trends, optimize processes, and make evidence-based business decisions.
This instructor-led, live training in Caracas (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.
By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.
Explore the fundamentals of programming with Big Data in R, a language popular in finance. This course in Caracas covers environment setup, MPI for parallel processing, and distributed matrices. Learn to handle large datasets, perform distributed regression, and apply Monte Carlo methods efficiently.
This instructor-led, live training in Caracas (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.
By the end of this training, participants will be able to:
This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.
By the end of this training, participants will be able to:
Create statistic models for predicting key interest variables and events.
Generate descriptive visualizations, summary tables, frequencies, and more.
Manage and structure large databases to preapare for data analysis.
This course in Caracas teaches R users to build web applications using Shiny without needing deep HTML or CSS skills. It covers core concepts, UI customization, advanced reactive features, and data sharing, providing practical guidance for creating dynamic, interactive data applications.
This instructor-led, live training in Caracas (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.
By the end of this training, participants will be able to:
Understand the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models for time series analysis.
Utilize the ‘forecast’ package to generate accurate forecasting models.
Automate forecasting workflows for business and research applications.
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Testimonials (6)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.
Pranay - Lotterywest
Course - Building Web Applications in R with Shiny
Very practical
Deenan - Vodacom
Course - Data and Analytics - from the ground up
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
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