This hands-on course teaches the tools & methods used by data scientists, from researching solutions to scaling up prototypes to Spark clusters. It exposes the students to the entire data science pipeline, from data acquisition to extracting valuable insights applied to real-world problems.
Questions and discussions about the course are gathered on mattermost: https://mattermost-dslab.epfl.ch. You will need to register with your EPFL gitlab ID (see week 3).
- Final assignment: description
- Slides (Powerpoint): week 1
- Slides (pdf): week 1
- Python Quick Reference: notebook
- Exercises: download - view on github
- Slides (Powerpoint): week 2
- Slides (pdf): week 2
- Solutions to last week's exercises: download - view on github
- Exercises - Set #1: download - view on github
- Exercises - Set #2: download - view on github
- Slides (Powerpoint): week 3
- Slides (pdf): week 3
- Solutions to last week's exercices - Set #1: download - view on github
- Solutions to last week's exercices - Set #2: download - view on github
- Exercices: Instructions