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Introduction to Data Science - DIKU

Course provider

Københavns Universitet

Location

  • Charlottenlund

Description

The purpose of the course is to introduce non-Computer Science students to probabilistic data modeling and the most common techniques from statistical machine learning and data mining. The students will obtain a working knowledge of basic data modeling and data analysis using fundamantal machine learning techniques.

The student will be able to:
- applying linear and non-linear techniques for classification and regression;
- elementary data clustering;
- visualizing and evaluating results obtained with machine learning techniques;
- identifying and handling common pitfalls in machine learning;
- using machine learning and data mining toolboxes.

Københavns Universitet

Practical information

Course provider

Københavns Universitet

Location

  • Charlottenlund

Course provider contact information

Contact the study administration
E-mail: efteruddannelse@science.ku.dk
Tel.:35 33 35 33

ECTS credits

7,5

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Spring

Deadline

Jan. 8, 2025

Current level of education

Master/Kandidat

Course duration

Kursusstart den 3. februar 2025.

Forløb: Februar - april.

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