Mathematics for Data Science

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.

The course takes place on the internal platform of the Higher School of Economics. 

Each week contains video lectures, tests and materials for independent study. Each course of the specialisation ends with a project that gives an opportunity to see how the material of the course is used in Data Science. Each project is directed at solving practical problem in Data Science. In particular, in your projects you will analyse social graphs, predict estate prices and uncover hidden relations in the data.

This Specialization is part of HSE University Master of Data Science degree program.

1. Discrete Math and Analyzing Social Graphs
2. Calculus and Optimization for Machine Learning
3. First Steps in Linear Algebra for Machine Learning
4. Probability Theory, Statistics and Exploratory Data Analysis