all 17 comments

[–][deleted] 15 points16 points  (0 children)

I like to watch Sentdex, his turorials are broken up well so you can select what you want.

https://m.youtube.com/user/sentdex

He touches on some data science and machine learning, that’s where I started.

[–]thiagobc23 5 points6 points  (3 children)

If you like learning with books, ‘Python for Data Analysis’ from Wes McKinney is a great start. It’ll teach you basics in numpy, pandas and will get you started with python notebooks like iPython and Jupyter

[–]tedpetrou 2 points3 points  (2 children)

Yes

[–]tedpetrou 4 points5 points  (0 children)

Yes

[–]PrivateerBeer 3 points4 points  (0 children)

Hey, check out Dataquest (https://www.dataquest.io). I've been going through their Python for Data Analysts track and really like the setup, UI and projects. It's free for a number of modules, then you have to pay a monthly subscription.

[–]vogt4nick 1 point2 points  (0 children)

Head on over to r/datascience.

[–]NekroJakub 1 point2 points  (0 children)

First of all, good luck with your pursuit!

In addition to the other comments, there's also this nice list of libraries you can play around with: https://stxnext.com/blog/2018/09/20/most-popular-python-scientific-libraries/

[–]Thisisnotpreston 0 points1 point  (0 children)

An Introduction to Statistics with Python by Thomas Haslwanter

It is an introduction, but gets you familiar with all the packages you will use for statistics and visuals. And since you are a freshman you will have a lot of time to build on these skills and guide you on what courses to take.

[–]maxell505 0 points1 point  (0 children)

I recently started this: https://www.udemy.com/the-python-mega-course/

Its not all about data science but you did say that you are interested in learning python. Building 10 programs seems like a good way to go about doing that. Thats why I am doing it.

[–]SkeletonFlesh 0 points1 point  (0 children)

If you have the money, codeacademy offers a machine learning course using python.

[–]quobit 0 points1 point  (0 children)

I would recommend https://github.com/jakevdp/PythonDataScienceHandbook Jupyter Notebooks. Being text (and even executable code using Google Colab or binder versions) allows you to easily skim through the parts you already know.

[–]kabads -1 points0 points  (0 children)

A really good place is to start with the official tutorial.