Basics Statistical Programming

This session is a basic introduction to statistical programming as well as a short brush-up on data more generally. For some, this will be “old news”, but many will certainly benefit from reviewing this material. We start with a general theory lecture on data structures and properties, and then dive into Python specific applications of statistical programming.

Part 1: Basics

• Notebook: Python 101

Part 2: Basic Data Manipulation

• Notebook: Python Data Manipulation

Exercises

• Notebook: Python DS Handbook, C.2-3 exercises

• Notebook: Pandas exercises

Here, you will find the answers to the exercises:

• Notebook: Python DS Handbook, C.2-3 exercises and solutions

• Notebook: Pandas exercises and solutions

Further studies

Recommended DataCamp courses

• Introduction to Python
• Intermediate Python

Recommended readings

• Python fo Data Science Handbook (VanderPlas, 2016), Chapter 2-3

Further resources