As the name suggests, this course is all about Linear Regression, a handy tool for predicting things based on data. This course breaks down the basics of figuring out straight-line relationships between different factors. Whether you're new to this or want to strengthen your skills, you'll learn how to understand and use linear models. It may seem simple as the idea, but there is quite a lot of information around it as well as there are some caveats when going into many dimensions.

So, we'll guide you through the theory behind linear regression, explain the main ideas, and show you how to put this knowledge into practice. But for the second half of the course we will need you to know matrices: no way we can go without them. Plus, if you want to understand the end of the course, you gotta be comfortable with the Gaussian (and continuous distributions in general). Thus, while the first half is not as challenging, the second part of the course is quite demanding.

Moreover, this course has two modes: "with Python" or "just maths". The former option has the same maths content as the second one, but adds an introduction to the popular basic Python tools on top of it.