About this Specialization

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Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 6 months to complete
Suggested 4 hours/week
English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 6 months to complete
Suggested 4 hours/week
English

There are 4 Courses in this Specialization

Course1

Course 1

Discrete Math and Analyzing Social Graphs

4.5
stars
309 ratings
78 reviews
Course2

Course 2

Calculus and Optimization for Machine Learning

4.0
stars
97 ratings
28 reviews
Course3

Course 3

First Steps in Linear Algebra for Machine Learning

4.1
stars
72 ratings
10 reviews
Course4

Course 4

Probability Theory, Statistics and Exploratory Data Analysis

4.7
stars
213 ratings
57 reviews

Offered by

Placeholder

National Research University Higher School of Economics

Start working towards your Master's degree

This specialization is part of the 100% online Master of Data Science from National Research University Higher School of Economics. If you are admitted to the full program, your courses count towards your degree learning.

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