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Higher School of Economics

Mathematics for Data Science

Higher School of Economics via Coursera Specialization

Overview

This Specialization is part of HSE University Master of Data Science degree program. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. 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.

Syllabus

Course 1: Discrete Math and Analyzing Social Graphs
- Offered by HSE University. The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will ... Enroll for free.

Course 2: Calculus and Optimization for Machine Learning
- Offered by HSE University. Hi! Our course aims to provide necessary background in Calculus sufficient for up-following Data Science courses. ... Enroll for free.

Course 3: First Steps in Linear Algebra for Machine Learning
- Offered by HSE University. The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and ... Enroll for free.

Course 4: Probability Theory, Statistics and Exploratory Data Analysis
- Offered by HSE University. Exploration of Data Science requires certain background in probability and statistics. This course introduces you ... Enroll for free.

Courses

Taught by

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

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