Data Science course 2021

Frederic Gillardo
Thomas Vuillaume

contact us at firstname.name[at]lapp.in2p3.fr

Courses content:

Course 0: Python and environment setup

These are reminders of prerequisite for this course

• env. setup: conda, Python and Jupyter

• Python: https://swcarpentry.github.io/python-novice-inflammation/

  • https://swcarpentry.github.io/python-novice-inflammation/01-intro/index.html
  • https://swcarpentry.github.io/python-novice-inflammation/04-loop/index.html
  • https://swcarpentry.github.io/python-novice-inflammation/05-lists/index.html
  • https://swcarpentry.github.io/python-novice-inflammation/08-func/index.html

• git

Course 1

• Introduction to data science
• Introduction to Numpy

Course 2

• Exercices with Numpy
• Introduction to pandas
• Exercices with pandas

Course 3

• Exercices with pandas
• Introduction to matplotlib and visualisation
• Exercices with matplotlib
• Visualisation with pandas

Course 4

• Introduction to machine learning
• Exercices with scikit-learn

Course 5

• Machine learning #2
• Exercices
• Practical work on a real case

Course 6

• Practical work on a real case
• Getting scores for the real case
• Introduction to git pull requests
• Introduction to kaggle
• Wrap-up, going further in data science

Homework

• TP on exoplanets