Python Data Science Tutorial: Analyzing the 2019 Stack Overflow Developer Survey

In this video, we will be learning how to use analyze survey data in Python.

In this Python Programming video, we will be learning how to download and analyze real-world data from the 2019 Stack Overflow Developer Survey. This is terrific practice for anyone getting into the data science field. We will learn different ways to analyze this data and also some best practices. Let's get started...

The code from this video can be found at:

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#Python

[coreyms]

I hope everyone finds this useful. Going out and practicing with real-world data like this is one of the best (if not the best) way to practice your skills. If any of you do your own analysis that's interesting then be sure to share it with us in the comment section below!

PS I forgot to mention that as usual, the code for this video can be found in the description section.

[Ghasakable]

Man, you are awesome, you are the reason that I open YouTube, please if you come to Japan one day, I will do my best to show you good places here in Tokyo.

[AvantjerTube]

Thanks Corey!
I’ve been following your excellent tutorials for quite awhile.
Just wanted to say that I’m excited and looking forward to your Pandas course(s).

[mylesmontclair]

Great to have you back producing great content for us. Thanks, Corey!

[Sauhros]

Just what I needed to start off my winter break. I can't wait for your pandas series! Keep up the great work Corey.

[anaesthesiadolorosa]

It's awesome that you've started making data science videos. Please keep them coming! ;)

[afternoontiger]

I'm definitely interested in a future tutorial of using pandas with this data! Otherwise a fantastic job

[sanukurien]

@Corey, I love watching your videos when I have my morning coffee. It's elegant and super informative. Thank you!

[BoukariYameogo]

This is what I was waiting for! Thank you!

[GuilhermePalazzoRodrigues]

That was incredible, really easy to follow and replicate, thank you very much.

[mancalos]

Finally a project not using either the Titanic or Iris datasets. Corey, you are a gem. Thanks for all the effort you put into this and every other tutorial.

[dadoll]

Wow, this is Amazing! Please make more videos for this DS Tutorial series. Thank you Corey...

[kizzavincent]

Very nice to have you back. Many thanks.

[Vasko]

Finally, i understand analyzing Data in Python! I went from Coursera via EDX, UDEMY etc. But this.... this is a pure gold sir! Please, do some course or learning path for Data Science with Machine Learning in Python in depth( let it be if needed a paid learning path). You are one of the best! If you somehow manage to come in Macedonia, tell me, i want to bow before you!

[HunniiChii]

Hope to see more of these videos from you in the future!

[DistortedV]

Wow Corey you do it all; thanks for the helpful tutorials!

[gxhkgtk]

Thank you for Python Data Science Tutorial! Keep it up, please!

[rangavembar]

Brilliant as always!! Looking forward to the Pandas series!!

[philinnc]

Looking forward to seeing a future video where pandas is used to analyze this same data. Really appreciated your stepping through the thought process, something I haven't seen in many other data science tutorials. Approaches to data cleaning is another interesting topic that would be nice to see covered in a future video. Recently there were these FEC reports... :-)

[yosefco]

Hi great Corey ! Thank you very much on your channel, your flask tutorial is the best i ever seen ! Please could you do a flask-api tutorial too ?