Master
2021/2022
How to Win a Data Science Competition: Learn from Top Kagglers
Type:
Compulsory course (Data Mining)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Applied Mathematics and Informatics
When:
2 year, 2 module
Mode of studies:
distance learning
Open to:
students of one campus
Instructors:
Olga Razvenskaya
Master’s programme:
Интеллектуальный анализ данных
Language:
English
ECTS credits:
3
Contact hours:
2
Course Syllabus
Abstract
The study of this discipline is based on the following courses: • Machine learning • Data analysis methods To master the discipline, students must possess the following knowledge and competencies: • Programming method • Linear algebra Probability and statistics The main provisions of the discipline can be used in their professional activities. https://www.coursera.org/learn/competitive-data-science