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Microcredential

Mathematics for Data Science

Higher School of Economics via Coursera Specialization

Overview

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.

Courses

Taught by

Anton Savostianov, Dmitri Piontkovski, Ilya V. Schurov, Vladimir Podolskii and Vsevolod L. Chernyshev

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