Last Updated on July 26, 2020

It turns out that a lot of people — including engineers — are often times scared of mathematics.

The truth is, people who are good at math have lots of practice doing math. It takes time and effort to find/ create a sweet spot for maths, but it’s certainly not something you’re born with.

The greatest challenge in learning Mathematics is to remain focused so that you can avoid carelessly overlooking small errors and missing on daily opportunities for self-improvement.

It doesn’t require mindless repetitions but deliberate practice with focused attention to learn something difficult like Coding, Science, Maths and Music.

Before you start with any course, take a look how Myelinated Neurons in our brain perform before and after practice.

In this piece, I don’t assume basic comfortability with linear algebra/matrix calculus but if you do, you will definitely get ahead with the following courses.

If you need to an introduction to Probability and Statistics for Data Science, i’ve already got you covered 😀

My goal is to suggest the resources that will equip and edify you to master the vocabulary, notation, concepts, and algebra rules to be more successful in almost any Data Science and Machine Learning course.

The 7 Best Mathematics Courses for Machine Learning and Data Science.

Below, I’ve curated a list of best online courses to learn Mathematics for Machine Learning and Data Science.

These classes will give you a sense of the math education and help you cultivate mathematical thinking, you’ll need to be effective in your Computational work, whatever that may be!

Mathematics for Computer Science is offered by University of London Goldsmith, designed to equip you with mathematical foundations needed to work in computer science.

If you dont have a basic knowledge of Mathematics, you’ll richly benefit for this course and become highly prepared to learn more advanced topics in Mathematics for Data Science and Machine Learning.

Is it right for you?

If you want to learn the basics of Mathematics in Computer Science, this is a perfect course to learn Numerical Mathematics and build skills to use computational tools.