Where to start in Data Science and AI?

Use your time and learn a new skill

During these last 18 months, I had many people asking me how to start in Data and AI. With more time in their hands and the opportunity to learn new skills. So I have decided to help anyone interested in learning about Artificial Intelligence, Machine Learning, and Data Science in general. These are some of the best resources I found helpful in my journey on these topics.

Learning a new skill, concept, or subject is not easy and requires some discipline to make sure there is progress. Unfortunately, so many people hit that brick wall when things start to get a bit more complex and tend to give up, usually due to time pressure, work creeping up into personal time, or responsibilities that take all of their time. So my advice is to have the time allocated for learning, at least one hour a day, maybe more if you can, intelligently split your time, and you will see results quickly. I find that early morning, while I am having my coffee, I am the most receptive to new ideas and concepts, and the house is silent and still.

You will see an enormous amount of learning resources to choose from, books, courses, videos, etc. But remember that you will need complementary skills, such as python programming, R programming, data visualisation and statistics. It is a common mistake that people make when they dive into a subject without having the necessary foundation, they get overwhelmed and give up. It will not happen to you, and you will do this the smart way. In the next section, I present some resources from beginners to advanced in Data Science, Machine Learning, Python, R and Artificial Intelligence. As they are all related, it is essential to complement each other.

Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” to “understand and analyse actual phenomena” with data. It uses techniques and theories drawn from many fields…

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