Enhance your statistical analyses with R and Generative AI (Advanced)Home Training Catalog Enhance your statistical analyses with R and Generative AI (Advanced) Intelligence Artificielle Générative Data Science Open Source Publishing Theoretical and applied statistics Short courses On-site courses Remote/Virtual Face-to-face English Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. Prerequisites: A basic knowledge of the R language Affinity for coding Comfort with digital tools and internet access Teaching Methods and Support: Instructor-led sessions Interactive digital materials Practical workshops with real-life cases Use of AI to assist learning Monitoring and Evaluation of Learning Outcomes: Practical exercises and case studies Multiple-choice tests (MCQ) and real-time assessments Individual feedback on exercises Program Half-day 1: Introduction to Generative AI and its Application in Statistical Analysis Introduction to Generative AI Definition and fundamental principles How generative AI models work (e.g., language models) Difference between generative AI and other forms of AI Use Cases in Statistics Generate fictitious data examples to illustrate concepts Provide simplified explanations of statistical concepts Structure a statistical analysis process in key steps Half-day 2: Getting Started with R Revisiting Basic Statistical Analysis with R Visualizing and enhancing your data Hypothesis testing and ANOVA Introduction and application of simple and multiple regressions The Role of Generative AI in Improving Analyses Using AI to rephrase or optimize analytical approaches Proposing alternative workflows for regressions and statistical tests Comparing AI-generated suggestions with traditional practices Practical Workshop Apply multiple regression to a dataset Use generative AI to propose better organization or approaches Critically evaluate recommendations and implement in R Half-day 3: Advanced Statistical Analysis with R and Generative AI Deepening Advanced Analysis with R Multiple and logistic regressions: concepts, implementation, and interpretation Advanced hypothesis testing: ANOVA, chi-squared tests, multiple comparisons Advanced exploratory data analysis (EDA) methods with dplyr and complex visualizations with ggplot2 Practical Workshop Implement advanced statistical analysis on a dataset Create in-depth visualizations to support the results Half-day 4: Automating Workflows with R and Generative AI Structuring and Automating Workflows with R Using functions and pipelines to create reproducible processes Introduction to R Markdown for automating analytical reports Generative AI’s Role in Automation Generating scripts for repetitive tasks (data preparation, statistical tests, visualizations) Suggestions to improve and optimize analytical workflows Automating reports in HTML or PDF format by combining R and AI Practical Workshop Create a complete workflow: importing, cleaning, analyzing, visualizing, and exporting Use generative AI to optimize and automate certain steps Duration 14 hours Level Intermediate Audience Professionals and researchers with prior experience in R. Users looking to deepen their skills in statistics and automation using generative AI. Participants 8 people maximum Instructor Salima Salima hold a PHD in economics from the University of Paris 1 Panthéon-Sorbonne, and spares no efforts when it comes to passing on knowledge and know-how. She is genuinely devoted to Educational purposes. Inter-company sessions 2025 - 1st semester [Over 4 half-days scheduled remotely, from 09:00 to 12:30] in french: June 9, 10, 12, and 13 1600 EUR excluding VAT per person. For intra-company sessions, please contact us for a personalized quote. Next session : 09 June 2025 Register Ask for a quote Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Scientific Monitoring Objectives Describe the general working principle of Deep Learning and Generative Artificial Intelligence. Use advanced prompting techniques to meet business needs. Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions. Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields. Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model. Translate articles. 17 and 21 March Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner) Objectives Discover the fundamentals of R and generative AI tools. Learn the basics of descriptive statistical analysis and apply them to real-world datasets. Learn how to automate common tasks in R using generative AI. Master the creation of simple visualizations and data presentation. Get introduced to the concepts of simple regressions and hypothesis testing. Generate workflows and automated reports with R Markdown. 31 March01, 02 and 03 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Scientific Communication and Popularization Objectives Understand the fundamentals of Generative AI and its applications in communication Use AI in communication strategy: defining target audiences, structuring messages, choosing formats… 01 and 02 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Prompt Engineering Objectives Describe how a Generative AI (GenAI) works in order to optimize its use in daily tasks Apply prompt engineering methods to use GenAI tools effectively Identify use cases within your professional environment 04 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Image Analysis Objectives Acquisition of the basics in image analysis Mastery of tools and techniques for AI-assisted analysis Hands-on practice and development of image pipelines using Generative AI 08 and 15 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Integrating Artificial Intelligence into your scientific teams Objectives Understand Generative AI, its functioning, and its limitations Explore the applications of Generative AI and use cases for scientists Define a plan for integrating Generative AI into your team/laboratory and prioritize the first actions 13 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative AI for Qualitative Analysis Objectives Understand the fundamentals of generative AI and its applications. Master AI-assisted qualitative analysis techniques. Use AI for analyzing and presenting qualitative data. 02 and 03 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Enhance your statistical analyses with R and Generative AI (Advanced) Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. 09, 10, 12 and 13 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Research Education Objectives Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools. Use advanced prompting techniques to meet business needs. Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case. Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning. Design exams and quizzes based on the training content developed for students, saving time in course preparation. Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.). Adapt your teaching and prepare your students for the Generative AI revolution. 26 June03 July Register Ask for a quote Previous Next
