datasciencewithpython

Msc in data science

Download this folder at the beginning of your class. Should the instructor make changes to the folder and its content, you will be notified and asked to re-download the folder. In this way, you will stay up-to-date.

Pre-requisites:

• reading the first three chapters of https://theeffectbook.net/
• having installed RStudio + library 'reticulate'

CODING SESSIONS

Session 1: basics of Python and NumPy

• Basic Knowledge
• Numpy
• Exercises

Session 2: Pandas (introduction)

• Intro to pandas

Session 3-4: Data Wrangling & aggregation

• Pandas manipulations

Session 5: ML applications

• Scikit learn

Exam: Applied project

Ask your instructor!

Reference book:

https://github.com/terencetachiona/Python-Data-Science-Handbook/blob/master/Python%20Data%20Science%20Handbook%20-%20Jake%20VanderPlas.pdf