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README.md

Description

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

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 Project

Lab Sessions

Week 1 - 20.02.2019 - Module 1 - Python for data scientists 1/4

Week 2 - 27.02.2019 - Module 1 - Python for data scientists 2/4

Week 3 - 06.03.2019 - Module 1 - Collaborating with Git 3/4

Week 4 - 13.03.2019 - Module 1 - Graded homework 1

Week 5 - 20.03.2019 - Module 2 - Big data

Week 6 - 27.03.2019 - Module 2 - Big data

Week 7 - 03.04.2019 - Module 3 - Spark

Week 8 - 10.04.2019 - Module 3 - Spark

Week 9 - 17.04.2019 - Module 3 - Spark

Week 10 - 01.05.2019 - Module 4 - Data streams with Kafka and Spark

Week 11 - 08.05.2019 - Module 4 - Data streams with Kafka and Spark

Week 12 - 15.05.2019 - Module 5 - Final assignment

Week 13 - 22.05.2019 - Module 5 - Final assignment

Week 14 - 29.05.2019 - Module 5 - Final assignment

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