CAS in Applied Data Science (ADS)

This repository contains some material and additional references related to the courses attended during my ADS CAS at University of Bern (2019-2020). For additional information, see my main page.

Summary of the content

• Module 1: data acquisition and management
• Module 2: statistical inference for data science
• Module 3: data analysis and machine learning
• Module 4: ethics and best practices
• Module 5: consolidations and electives
• Extra: C++ and Java programming

Some ressources of interest

• various online tutorials from Cornell Virtual Workshop
• pdf (in French) of old Site du zéro courses (now openclassrooms)
• offline version of old tutorials from the Site du zéro
• pdf and online tutorials (in French) from développez.com
• R ressources from the UCLA statistical consulting group
• algorithmic and programming tutorials from Zeste de savoir (in French)
• my other (unformatted) blog with a series of posts with tips for R (most of them), Python, bash

Contact

Questions, comments or suggestions ? Don’t hesitate to contact me !

Disclaimer

I received the permission to put this material online. Some files are under specific licenses (see directly in the files). By respect for the authors, mention their name if you use this material.