Mathematics for Data Science

Build a Foundation for your Data Science Skills. Master a wide range of math underlying Data Science and learn how to apply it in practice

  • Online Specialization
  • 4 courses (22 weeks)
  • Flexible terms
  • Time to completion: 132 hours
  • Certificate
Apply for the specialization

About the specialization

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


Подольский Владимир Владимирович

Департамент больших данных и информационного поиска: Руководитель

Щуров Илья Валерьевич

Кафедра высшей математики: Доцент

Кузнецов Степан Львович

Департамент анализа данных и искусственного интеллекта: Доцент

Пионтковский Дмитрий Игоревич

Департамент математики: Старший научный сотрудник

Чернышев Всеволод Леонидович

Департамент больших данных и информационного поиска: Доцент

Савостьянов Антон Сергеевич

Факультет компьютерных наук: преподаватель



For all students interested in Data Science. No prerequisite needed

Graduation Document

Earn a Certificate upon completion



Cost and Conditions

17 000 ₽

Full access to the learning materials + Graduation document

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