Skip to content

Getting Started​‌​‌​‌​​‍​‌​​​‌​‌‍​​‌‌‌​‌​‍​​‌‌​‌​​‍​‌‌​​‌​‌‍​​‌‌‌​​​‍​‌‌​​‌​​‍​​‌‌‌​​‌‍​‌‌​​​‌​‍​​‌‌​​​‌‍​‌‌​​​​‌‍​​‌‌​‌​‌‍​‌‌​​‌‌​‍​​‌‌​‌‌​‍​‌‌​​‌​‌‍​​‌‌​‌‌‌‍​‌‌​​​‌‌‍​​‌‌​​‌‌‍​‌‌​​‌​​‍​​‌‌‌​‌​‍​​‌‌​​‌​‍​​‌‌​​​​‍​​‌‌​​‌​‍​​‌‌​‌‌​‍​​‌‌​​​​‍​​‌‌​​‌​‍​​‌‌​​​‌‍​​‌‌​​‌‌‍​​‌‌‌​‌​‍​‌‌​​‌​‌‍​‌‌​​‌​‌‍​​‌‌​‌‌‌‍​‌‌​​‌​‌‍​‌‌​​​​‌‍​‌‌​​‌‌​‍​​‌‌​‌​​‍​​‌‌​​​​

Welcome to the getting started guide for the Big Data with Python course. This section will walk you through everything you need to begin working on the exercises.​‌​‌​‌​​‍​‌​​​‌​‌‍​​‌‌‌​‌​‍​​‌‌​‌​​‍​‌‌​​‌​‌‍​​‌‌‌​​​‍​‌‌​​‌​​‍​​‌‌‌​​‌‍​‌‌​​​‌​‍​​‌‌​​​‌‍​‌‌​​​​‌‍​​‌‌​‌​‌‍​‌‌​​‌‌​‍​​‌‌​‌‌​‍​‌‌​​‌​‌‍​​‌‌​‌‌‌‍​‌‌​​​‌‌‍​​‌‌​​‌‌‍​‌‌​​‌​​‍​​‌‌‌​‌​‍​​‌‌​​‌​‍​​‌‌​​​​‍​​‌‌​​‌​‍​​‌‌​‌‌​‍​​‌‌​​​​‍​​‌‌​​‌​‍​​‌‌​​​‌‍​​‌‌​​‌‌‍​​‌‌‌​‌​‍​‌‌​​‌​‌‍​‌‌​​‌​‌‍​​‌‌​‌‌‌‍​‌‌​​‌​‌‍​‌‌​​​​‌‍​‌‌​​‌‌​‍​​‌‌​‌​​‍​​‌‌​​​​

What you'll find here

Tools Installation

Learn how to install all the tools required for the course:

  • Python 3.11+
  • Git
  • PyCharm (recommended IDE)
  • Project dependencies

Your First Exercise

A step-by-step guide to complete your first exercise:

  • How to navigate the repository
  • How to run the exercises
  • How to submit your work
  • Best practices

Course Roadmap

Overview of all exercises and technologies:

  • Learning levels
  • Estimated time per exercise
  • Technologies you'll master
  • Recommended study plan

Where to start?

First time with Git and Python?

Start with Tools Installation where we explain step by step how to install everything you need.

Already have everything installed?

Go straight to Your First Exercise to start working.

Experienced developer?

Check the Course Roadmap to see all exercises and choose where to begin.

​‌​‌​‌​​‍​‌​​​‌​‌‍​​‌‌‌​‌​‍​​‌‌​‌​​‍​‌‌​​‌​‌‍​​‌‌‌​​​‍​‌‌​​‌​​‍​​‌‌‌​​‌‍​‌‌​​​‌​‍​​‌‌​​​‌‍​‌‌​​​​‌‍​​‌‌​‌​‌‍​‌‌​​‌‌​‍​​‌‌​‌‌​‍​‌‌​​‌​‌‍​​‌‌​‌‌‌‍​‌‌​​​‌‌‍​​‌‌​​‌‌‍​‌‌​​‌​​‍​​‌‌‌​‌​‍​​‌‌​​‌​‍​​‌‌​​​​‍​​‌‌​​‌​‍​​‌‌​‌‌​‍​​‌‌​​​​‍​​‌‌​​‌​‍​​‌‌​​​‌‍​​‌‌​​‌‌‍​​‌‌‌​‌​‍​‌‌​​‌​‌‍​‌‌​​‌​‌‍​​‌‌​‌‌‌‍​‌‌​​‌​‌‍​‌‌​​​​‌‍​‌‌​​‌‌​‍​​‌‌​‌​​‍​​‌‌​​​​---

Help and Support

Have questions?

  • In-person course students: Ask during class sessions
  • Self-learners: Create an Issue on GitHub with your question
  • Businesses: Contact directly via email