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.

Additionally, when I read books, I enjoy finding mistakes in them, as well as making additional notes to enhance the learning experience. You can find them in this Github repository: Booknotes_personal_observations.

     
 

Courses and certificates

Resource My thoughts
Python 3: Deep Dive (Part 1 - Functional) - Dr. Fred Baptiste (Udemy)
IN PROGRESS…

A great in-depth course focusing on the less trivial things about python, like memory object location, copy vs deep copy, precision of float objects and the reasons, rounding techniques, etc.
Machine Learning Specialisation - DeepLearning.ai, Stanford (Coursera)
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..