Available online or on-site, our instructor-led live R (R Language) training courses provide hands-on experience with key aspects of the language. These include R programming fundamentals, advanced R techniques, and applications in Data Analysis and Data Visualization. The exercises focus on real-world scenarios and solutions relevant to sectors such as Finance, Banking, and Insurance. NobleProg’s R training portfolio spans from introductory to advanced levels, making it a preferred choice for organizations looking to adopt R for building Machine Learning and Deep Learning applications.
R training is offered as either "online live training" or "onsite live training". Online live training (also known as "remote live training") is delivered through an interactive remote desktop environment. Onsite live training takes place locally at the client’s premises in Lille or within NobleProg’s corporate training centers in Lille.
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This instructor-led training in Lille explores the fundamentals of R Markdown for creating dynamic, reproducible reports. It empowers R users to build code-chunk-based documents, render outputs to HTML, PDF, and Word, and utilize parameterized reports, themes, and LaTeX styling to achieve professional, automated documentation.
This instructor-led, live training in Lille (online or onsite) is designed for data analysts and anyone keen 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:
Conduct data analysis using Python, R, and SQL.
Derive insights through data visualization with Tableau.
Make data-driven decisions for business operations.
This instructor-led, live training in Lille (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 Lille enables intermediate R users to build interactive web apps without relying on JavaScript. Master the design of reactive UIs, integration of data visualizations, and application deployment. Acquire hands-on skills to efficiently create dynamic dashboards and reports.
This instructor-led, live training in Lille (online or onsite) is designed for intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.
Upon completion of this training, participants will be able to:
Utilize Stata effectively for data analysis and statistical modeling.
Compare the functionalities of Stata with those of SPSS and R.
Integrate Stata with R to facilitate seamless statistical computing.
Develop and automate workflows using both Stata and R.
This practical course in Lille focuses on R fundamentals, data preparation, and visualization utilizing packages such as ggplot2. Over the course of three days, learners delve into statistical modeling, regression analysis, and machine learning methods—including clustering and classification—using authentic real-world data.
This hands-on course in Lille establishes core data analytics competencies through the use of Excel, VBA, and R. Learners will acquire skills in data manipulation, visualization, and machine learning, enabling them to forecast trends, refine processes, and drive evidence-based business strategies.
This instructor-led, live training in Lille (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.
Delve into the essentials of leveraging R for Big Data, a language widely adopted in finance. This course in Lille addresses environment configuration, utilizes MPI for parallel computing, and explores distributed matrices. You will learn to manage massive datasets, execute distributed regression analyses, and implement Monte Carlo methods with enhanced efficiency.
This instructor-led, live training in Lille (online or onsite) is designed for 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 Lille empowers R users to develop web applications using Shiny, eliminating the need for extensive knowledge of HTML or CSS. It explores core principles, UI customization, advanced reactive mechanisms, and data sharing, offering practical insights for crafting dynamic and interactive data solutions.
This instructor-led live training in Lille (online or onsite) is designed for intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of forecasting techniques within R.
Apply ARIMA models and exponential smoothing methods for time series analysis.
Utilize the 'forecast' package to develop accurate forecasting models.
Automate forecasting workflows for both business and research purposes.
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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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