Mathematics

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, however, there are 2 specific subfields that are heavily employed in data science – calculus and linear algebra. This is precisely what the 365 Data Science program covers! In order to thrive in the data science field, you must first have all the numerical tools that will help you understand even the most complicated machine learning algorithms.

12 High Quality Lessons
5 Practical Tasks
1 Hours of Video
Certificate of Achievement

Skills you will gain

mathematicstheory

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
Mathematics

with Iliya Valchanov

Start Course