Teaching you the linear algebra you need for the true data science expertise of developing powerful machine learning models.

With Iliya Valchanov

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Course Overview

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. However, in order to thrive in data science, you must have all the numerical tools so you can eventually understand the most complicated of machine learning algorithms.

13 High Quality Lessons
4 Practical Tasks
1 Hours of Video
Certificate of Achievement

Skills you will gain


What You'll Learn

This course will teach you the mathematical fundamentals used in the fields of data science by covering topics of calculus and linear algebra. It also delivers the numerical tools required for applying mathematical knowledge into practice.  

Understand the basics of linear algebra 
Operate with scalars, vectors, matrices, and tensors 
Apply theoretical knowledge into practice 

“Mathematics is one of the core pillars of data science. In this course, I will help you build the mathematics foundation you need to understand machine and deep learning models, and tackle more complex problems later on in your data science training.”

Iliya Valchanov
Co-founder at 365 Data Science

With Iliya Valchanov

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