Mathematics is a broad subject, but there are specific subfields that are heavily employed in data science: calculus and linear algebra – and this is what the 365 Data Science program covers.
Introduction to Linear Algebra:
In this section, we will discuss the basics of linear algebra – scalars, vectors, matrices, and tensors. We will dive into the terminology and the different operations that one can perform, like transposing, addition, subtraction, multiplication, etc. We then look into types of matrices, like the identity matrix and inverse matrix. We finish off this part with Eigenvalues and EigenVectors.
With the annual package, you will be paying $ 29.00/Month that will include the following benefits:
- All 26 topics covered
- 120 hours of video access
- 770+ exercises
- Certificate upon completion
- Resume feedback
- Portfolio advice
Master Discrete Mathematics: Learn and master all of Discrete Math - Logic, Set Theory, Combinatorics, Graph Theory, Etc