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;
Please note that this section is still being written, so there are many things that are not present here!
Machine Learning
| Resource |
Description |
Photo |
| 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! |
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| 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. |
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| 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. |
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Data Analysis
| Resource |
Description |
Photo |
| Data Analysis with Python - freeCodeCamp |
This is a simple introductory course from FreeCodeCamp that teaches the essentials of data cleaning, processing, and visualisation with Python libraries (Numpy, Pandas, Matplotlib). |
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| Scientific Computing with Python - freeCodeCamp |
This course improved my understanding of programming in Python and offered some challenging certification projects. |
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Databases
| Resource |
Description |
Photo |
| Relational Database - freeCodeCamp |
Following the completion of this code, I learned the essentials of relational databases (in this case, PostgreSQL), different ways to connect to the databases, and write scripts in Bash that would interact with PostgreSQL. |
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