So you want to be a data scientist, or maybe you're already one and want to increase your toolbox. You've arrived to the correct location. The goal of this page is to give a comprehensive learning route for persons who are new to Python for data science. This curriculum provides a complete overview of the steps required to learn Python for data science. If you already have some background or don't require all of the components, feel free to create your own paths and let us know how you changed the path.
You can also look at the tiny version of this learning route –> Infographic: Quick Guide to Learning Data Science in Python.
We have created a new learning route for you! Check it out on our courses page and get started on your data science adventure right away.
The first step is to set up your machine.
Now that you've made your decision, it's time to set up your machine. The simplest way to get started is to get Anaconda from Continuum.io. It comes with almost everything you'll ever need. The main disadvantage of going this way is that you will have to wait for Continuum to update their packages, even if an update to the underlying libraries is available. That shouldn't matter if you're just starting off.
If you have any problems installing, you can find more thorough instructions for various operating systems here.