BIO-645 / 2 crédits

Enseignant: Dayan Michaël Jérémy Pierre

Langue: Anglais

Remark: Fall 2022


Every year


The "Introduction to Applied Data Science" (I2ADS) course is aimed at students of all levels to train them in the core computer science software stack and techniques forming the pillars of open & reproducible science. Registration in student portal & at is compulsory.



Attention: Registration in your student portal as well as at is compulsory to be able to attend the course.

While the course will be made available in hybrid mode, both physically at Campus Biotech Geneva and remotely by connecting to our dedicated computing infrastructure, physical attendance is highly recommended. Credits will only be provided for those attending live at least 80% of the lectures (remotely or physically). An official EPFL email is required to attend the course.

Questions: Contact

Learning outcomes:  To implement in Python a data science project within a Linux environment while tracking code changes with the git version control system.



Data Science; Linux; Git; Python; Machine Learning

Learning Prerequisites

Required courses


Recommended courses


Dans les plans d'études

  • Forme de l'examen: Ecrit (session libre)
  • Matière examinée: Introduction to Applied Data Science (I2ADS)
  • Cours: 35 Heure(s)
  • Exercices: 35 Heure(s)

Semaine de référence