Applied Data Science

2024/2025

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Business Informatics

Course type:

Compulsory course

When:

1 year, 1 module

Course Syllabus

Abstract

Data Science is the field of study that helps us to find the dependencies in data automatically. Such a technology enables to solve different problems without explicit programming of rules. Due to advances in computing and the field itself, during last decade machine learning has become an essential feature of products ranging from web-services to banks. In this course the student is going to overview the essential concepts of machine learning and then practice employing machine learning methods to solve business tasks. This course emphasizes the practical part and considers various aspects of solving real-world problems. The course content covers all the popular methods such as linear methods, gradient boosting, and clustering. Finally, the course considers the best practices of major companies leveraging the machine learning technology.