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

• Final assignment: description

Lab Sessions

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

• Slides (Powerpoint): week 1
• Slides (pdf): week 1
• Python Quick Reference: notebook
• Exercises: download - view on github

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

• 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

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

• Slides (Powerpoint): week 3
• Slides (pdf): week 3
• Solutions to last week's exercises - Set #1: download - view on github
• Solutions to last week's exercises - Set #2: download - view on github
• Exercises: Instructions

Week 4 - 13.03.2019 - Module 1 - Graded homework 1

• Slides (Powerpoint): week 4
• Slides (pdf): week 4
• Solutions to last week's exercises: solutions
• Homework 1: Instructions

Week 5 - 20.03.2019 - Module 2 - Big data

• Slides 1 (Powerpoint): week 5
• Slides 1 (pdf): week 5
• Slides 2 (Powerpoint): week 5
• Slides 2 (pdf): week 5
• Exercises: Instructions

Week 6 - 27.03.2019 - Module 2 - Big data

• Reminder: homeworks#1 are due today as per week 4 instructions.
• Slides (Powerpoint): week 6
• Slides (pdf): week 6
• Solution to last week's exercises: download
• Homework 2: Instructions
• Solutions homework 1: download from gitlab - view on gitlab

Week 7 - 03.04.2019 - Module 3 - Spark

• Slides (Web): week 7
• Slides (pdf): week 7
• Exercises: Instructions
• Exercise solutions

Week 8 - 10.04.2019 - Module 3 - Spark

• Slides (Web): week 8
• Slides (pdf): week 8
• Exercises: Instructions
• Exercise solutions

Week 9 - 17.04.2019 - Module 3 - Spark

• Homework 3: Instructions
• Solutions homework 2: download from gitlab

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

• Slides (Powerpoint): week 10
• Slides (pdf): week 10
• Exercises: Instructions

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

• Slides (Powerpoint): week 11
• Slides (pdf): week 11
• Homework 4: Instructions
• Solutions to last week's exercises - download - view on github
• Solutions homework 3: download from gitlab - view on gitlab

Week 12 - 15.05.2019 - Module 5 - Final assignment

• Slides (Powerpoint): week 12
• Slides (Powerpoint): week 12
• Final assignment: description

Week 13 - 22.05.2019 - Module 5 - Final assignment

• Solutions homework 4: download from gitlab - view on gitlab

Week 14 - 29.05.2019 - Module 5 - Final assignment