R Training with Artificial Intelligence (AI)
Many people first encounter R through statistics courses and gradually develop
their skills by consulting manuals, technical documentation, and online
resources. Although this approach helps them perform analyses, it often
overlooks workflow organization, code quality, and the effective use of
development tools.
This can lead to significant technical debt, including lost time,
trial-and-error programming, difficulty troubleshooting problems, and reliance
on inefficient work methods.
This course teaches you how to integrate artificial intelligence into your R
environment so that you can work more efficiently. You will learn how to use
tools such as Gemini and Posit Assistant to plan an analysis, generate and
explain code, troubleshoot errors, explore data, and continuously improve your
skills.
The goal is not to replace learning R or understanding statistical methods.
Instead, you will learn how to use AI as a true copilot that supports and
accelerates your work.
This course is suitable for both beginners who want to accelerate their
learning and experienced R users who want to modernize their workflows.
Training Available in English
This course is delivered entirely in English by a fluent English-speaking instructor.
For questions about course content, scheduling, pricing, or specific technical requirements, please contact us by email:
info@doussou-formation.com
Online training is available for participants in the United States and Canada.
Module 1 – Setting Up Artificial Intelligence Tools
- Create or configure a Google Account;
- Access Gemini and Google AI Studio;
- Obtain and securely manage a Gemini API key;
- Explore Google’s main online tools;
- Compare Gemini with other AI assistants and models;
- Understand data privacy and confidentiality considerations.
Module 2 – Programming with AI
- Explore the main tools used with R;
- Understand the roles of RStudio, Google Colab, and Quarto;
- Configure a Google Colab notebook to work with R;
- Generate, comment on, and explain code with AI;
- Improve scripts and troubleshoot errors;
- Use Gemini in conversational mode and with code blocks;
- Convert a notebook into a Quarto document;
- Move from an online environment to a local development environment.
Module 3 – Using Posit Assistant in RStudio
- Explore Posit Assistant and its main features;
- Use the assistant directly within RStudio;
- Generate, explain, and modify R code;
- Troubleshoot errors using the project context;
- Use AI-powered code-editing suggestions;
- Understand the limitations of an AI assistant integrated into a development environment.
Module 4 – Using AI Features Effectively
- Write clear, precise, and contextualized prompts;
- Use AI to plan an analysis;
- Interact with technical documentation or PDF manuals;
- Analyze code, tables, charts, and diagrams;
- Compare multiple solutions suggested by AI;
- Validate AI-generated answers, code, and results;
- Protect personal, confidential, and organizational data.
Module 5 – Learning R Syntax with AI
- Explore the fundamental elements of R syntax;
- Create objects, vectors, and data frames;
- Use functions and operators;
- Generate examples tailored to your skill level;
- Ask AI to explain and adapt code examples;
- Diagnose and correct common errors;
- Create a self-assessment quiz;
- Develop a personalized AI-assisted learning plan.
Module 6 – Performing Data Analysis with R and AI
- Explore the main Tidyverse packages;
- Use data.table to work with large datasets;
- Compare base R, Tidyverse, and data.table;
- Import and explore a dataset;
- Clean, transform, and validate data;
- Create summary tables and data visualizations;
- Use AI to generate, explain, adapt, and correct code;
- Apply the workflow to your own data.
Module 7 – Performing Statistical Analysis with AI
- Find and use reliable technical documentation;
- Translate a business or research need into an analytical approach;
- Select an appropriate statistical method with AI assistance;
- Compare two means using a t-test;
- Calculate and interpret Cohen’s d;
- Select the appropriate parameters and function arguments in R;
- Verify assumptions and interpret the results;
- Adapt the workflow to other statistical analyses.
Other course(s) in this category
Prerequisites:
Prerequisites
- Basic computer skills;
- Previous exposure to R or an interest in data analysis;
- A computer on which R and RStudio can be installed;
- A Google Account to access Gemini and Google Colab.
Objectives:
- Configure the main AI tools used with R;
- Write effective prompts to generate, explain, and debug code;
- Use AI with Google Colab, RStudio, and Quarto;
- Plan a data analysis before writing code;
- Compare base R, Tidyverse, and data.table approaches;
- Use AI to explore data and perform basic statistical analyses;
- Evaluate the quality, relevance, and reliability of AI-generated code;
- Create a personalized plan for continuing to learn R.
Need professional support?
Beyond training, our experts can support you with implementation, optimization, and the hands-on delivery of your projects.
- Post-training support, coaching, and guidance
- Implementation of tools and best practices
- Process optimization and automation
- One-time intervention or tailored engagement
Contact us to learn about upcoming dates or arrange a training session.
This training may also be offered in the evening or spread over several weeks, with one daytime session per week.
Let us know what schedule or pace would work best for you. We will review the possibilities based on the instructor's availability.
✉️ Email us at INFO@DOUSSOU-FORMATION.COM
Pricing
Practical information
- Duration: 1 day(s)
- Schedule: 9:00 a.m. to 4:30 p.m. (2 coffee breaks + 1-hour lunch)
-
Format:
- Online (live virtual classroom)
- Or in person, depending on availability
📄 Download course outline (PDF)
Registration detailsInterested in this training?
Free quote with no obligation
Registration with credit card payment
FR
« Je tiens à vous remercier tous les deux d’avoir offert à mes ressources une excellente formation COBOL au cours des trois derniers jours.
Mamadou, merci d’avoir été si accommodant malgré le court préavis et d’avoir envoyé votre formateur à Gatineau pour ce cours personnalisé.
Nous avons hâte de poursuivre notre collaboration pour de futurs besoins de formation. »
(Traduit de l’anglais)
EN
“I want to thank you both for providing my resources with excellent COBOL training over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customized and personalized training course. We look forward to continuing our partnership for future training needs.”
FR
« Mamadou est venu nous aider à réorganiser notre panneau d’arrêt via un outil de rapport, Crystal Reports. Mamadou a réussi avec succès le travail de précision, au pixel près, puisque nous voulions un rapport similaire au design graphique original. Il nous a aidés à découper le projet par cycle et à intégrer le rapport à notre logiciel corporatif. La qualité que nous avons appréciée était le souci du détail et la constance. Mamadou a été très professionnel et connaît plusieurs autres technologies. Merci. »
EN
“Mamadou helped us reorganize our stop panel using a reporting tool, Crystal Reports. He successfully delivered precise, pixel-perfect work,
as we needed a report that matched the original graphic design. He helped us break the project down into cycles and integrate the report
into our corporate software. What we appreciated most was his attention to detail and consistency. Mamadou was very professional and
is knowledgeable in many other technologies. Thank you.”
(Translated from French)
FR
« Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci ! »
EN
“It was a pleasure doing business with Doussou Formation. What truly makes THE difference is the personalized service, fully attentive
to participants, as well as the ability to adapt the training to their needs. Flexibility / Adaptability / Professionalism / Courtesy. Thank you!”
(Translated from French)