Here I would like to showcase all the resources that I have used for my CPD (Continuous Professional Development). I enjoy learning new things related to my career in different ways:

Doing online courses from websites such as Coursera, Udemy, FreeCodeCamp;
Reading textbooks on topics in Data Science, Statistics, and Programming;
Attending and participating in live events;
Some websites allow me to practice SQL, Python, Bash, etc., such as Hackerrank, Leetcode, Codewars

Please note that this section is still being written, so there are many things that are not present here!

Books

You can see a full list of Data Science and Programming - related books that I have read on my Goodreads. If you wish to make me a present, you can check which book I currently desire on the dedicated shelf on Goodreads.

Resource	My thoughts
Essential Math for Data Science - Thomas Nield (O’Reily)	While not as rigorous and comprehensive as other books on Data Science, this one is a relatively easy read that is perfect for revising challenging theoretical concepts in Machine Learning.
Grokking Machine Learning - Luis Serrano, Manning Publications	This book is an excellent introduction into the world of Machine Learning - it uses very simple examples to explain different ML algorithms and Gradient Boosting. I believe that this is the best book that a person can choose to start their journey into the world of ML.
Learning SQL - Alan Beaulieu (O’Reily)

Courses and certificates

Resource	My thoughts
Machine Learning Specialisation - DeepLearning.ai, Stanford (Coursera) </td>	This is an amazing comprehensive course that teaches both theoretical and practical aspects of building ML models. I believe that this might be the best course on ML out there and would highly recommend it!
freeCodeCamp courses - Data Analysis with Python - Relational Database - Scientific Computing with Python	These courses are very basic, but excellent for new learners to help them master the basics of python, SQL, bash, etc..