Data Science is the buzzword, and a lot of enthusiasts are interested in learning its fundamentals to make a lucrative career in this field. Linear Algebra is one of the important concepts to learn how to perform data transformation techniques like pre-processing, dimensionality reduction, etc. There are many courses available at your fingertip, but it is difficult to choose the right course suited for your requirement. That's precisely the intent of this post - it makes your course search easy by listing down the five free courses to learn linear algebra foundations for data science. Before I go straight into listing down the courses for you, let me first explain the commonly asked questions – why do we need to learn linear algebra in the first place?

Then, this course is for you. The Common mistake by a data scientist is Applying the tools without the intuition of how it works and behaves. Having the solid foundation of mathematics will help you to understand how each algorithm work, its limitations and its underlying assumptions. With this, you will have an edge over your peers and makes you more confident in all the applications of Machine Learning, Data Science, and Deep Learning. As a common saying: It always pays to know the machinery under the hood, rather than being a guy who is just behind the wheel with no knowledge about the car.