Kaggle Learn

Kaggle not only allows you to participate in Data Science competitions, but also provides access to its courses.

Each course focuses on a particular topic and has several lessons. Passing them is not difficult and does not take much time (several hours), but the courses are interesting and allow you to remember the basics (and maybe learn something new for yourself).

It is convenient that for each course it is indicated which courses you need to take before studying this particular course and which after.

I've finished Python, Intro to Machine Learning, Intermediate Machine Learning when they were introduced. Now I'm going through Machine Learning Explainability.

Some of the must-have courses:
- Feature Engineering (https://lnkd.in/e7xF_9-Z)
- Time Series (https://lnkd.in/eA-cYvHi)
- Data Cleaning (https://lnkd.in/edCfAkat)
- Intro to AI Ethics (https://lnkd.in/eBiT2YHM)
- Machine Learning Explainability (https://lnkd.in/eTnCWkFD)

The courses are free.

There are also guides, like Natural Language Processing Guide
https://www.kaggle.com/learn-guide/natural-language-processing

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