Over the years, I have come across multiple resources I learned things from with ease. This is a page to track those resources. Please reach out to me if you think something belongs to this list. I will add it.
General
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Julia Evans has online zines for topics ranging from SQL, Shell scripts to Linux. These are hand-drawn explanations of stuff related to a particular topic. I stumbled upon here twitter post about how SQL actually executes a query and have been a fan ever since.
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All things ML, DS, CS, Stats. This is most comprehensive source I have ever seen.
https://github.com/Developer-Y/cs-video-courses
SQL
- SQL Zoo. Hands down the best place to start learning SQL. This is where I learned from and advised many students to learn from as well.
- SQL Zines. Great resource for getting introduced to SQL. It has clear explanations with awesome visuals.
- Complete overview of SQL in one page.
Python
- Chris Albon has a great repository of all things Python Data Science. It's just good to just scroll through and refresh your coding memory.
- Numpy visualized. His blog has other cool visualizations too.
- Dan Bader's website is a great place to learn python all around.
- Corey Schafer's YT channel. All python concepts are explain clearly.
Pyspark
Data Science
- DataCamp is a good place to get started. The career paths with 4-8 hour courses with bite sized videos and in website coding practice is really good and is the best way to get hands on with Data science.
Causal Inference
- Mastering metrics (Introductory) and Mostly harmless econometrics (Intermediary) are great books to get a intuition of all this econometrics and causal inference. Search amazon.
- The effect is another great book. I really admire the author, Nick HK.