Data analytics and AI journey - Module 4 - Descriptive analytics with R or Python

Descriptive analytics is the first step of the data analytics workflow. By leverage the diversified array libraries of R or Python, powerful programming languages for machine learning, users can become productive in a short amount of time.

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

• create ETL workflows to load and prepare large amounts of data by writing small scripts
• compute descriptive statistics easily, thanks to R’s Tidyverse libraries or Python’s Pandas
• get familiar with programming fundamentals

Thierry is leading the Technology Consulting services. He has over 20 years of experience in IT strategy with a specific focus on the quality and efficiency of IT departments. He has managed numerous innovation and transformation programmes and has also been involved in IT risk and security projects. Thierry is also leading the data and AI services.