Are you interested in learning statistics or data analysis?

I think learning how to analyze data is tricky because it's actually 3 independent skills.

- Coding
- Applied Knowledge
- Probability Theory 🧵👇
When I first started learning data analysis, it was frustrating for me to realize that being good at one of these skills didn't mean I was good at all of the others. So, If you've ever felt that way, you're not alone. 2/8
Coding: Being good at coding allows you to implement your ideas. While it's possible to get by using software, it will limit you as a data analyst. 3/8
Applied Knowledge: For me, this means knowing what kinds of problems tend to occur in real data and knowing how algorithms tend to work (or not work) in real world situations. Lacking this skill is like sketching with your eyes closed. Doable but not ideal. 4/8
Probability Theory: Random events are at the heart of statistics so a strong grasp of mathematical probability helps a lot. It's possible to depend on good software and intuition but much of the reliability of statistics comes from the correctness of the mathematics. 5/8
Honestly, I think you only need to be good at 2 out of 3 of these skills to have a solid statistics career. You can probably even get away with only having a strong grasp of one of them if you have the right collaborators. 6/8
However, in my opinion, mastering coding, applied statistical knowledge and probability theory will put you in the position to handle any data analysis problem. 7/8
One final remark. In academia, these skills are often taught in this order:

- Probability Theory
- Applied Knowledge
- Coding

But for self-study, I would recommend learning them in this order:

- Coding
- Applied Knowledge
- Probability Theory 8/8
Good luck and I hope this thread helps you structure your approach to learning statistics and data analysis.
I'll be tweeting more about practical problems in learning data science and statistics:

- common roadblocks
- how to get around them
- specific book recommendations, etc.

If you want to hear more about these topics, follow me.

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Any philosophers of science willing to vouch for the accuracy of this chart?

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