Have you ever felt overwhelmed by the size of data science, wondering where to start or how to make your learning stick?

I used to dabble aimlessly when learning data science topics, but I now have a more systematic approach that has transformed my understanding and intuition behind the subject.

In this post, I want to share my techniques, advice that has proven effective in my learning journey, and tips for staying consistent.

Deciding What To Learn

Naturally, the first step in learning something is to decide what you will learn about. Most people will already have this somewhat figured out, but simply saying, “I want to learn data science,” is probably insufficient as it’s quite vague. Data science encapsulates many areas, such as maths, statistics, and coding, to state the obvious ones, but these can be broken down even further.

While it may sound mundane and a bit boring, a structured roadmap or syllabus can be a game-changer in your learning journey. It’s highly likely that someone in the field you’re interested in has shared their knowledge in a video, blog post or any other form of content. In just 10 minutes, you can have a…