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Data management and visualization (5 cr)

Code: WM00EJ68-3005

General information


Enrollment
07.04.2025 - 21.04.2025
Registration for introductions has not started yet.
Timing
01.09.2025 - 31.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Distance learning
Unit
Department of Business
Campus
Ecampus
Teaching languages
Finnish
Seats
20 - 60
Degree programmes
Degree Programme in Wellbeing Management
Teachers
Veijo Vänttinen
Teacher in charge
Veijo Vänttinen
Groups
HJMI24SM
Wellbeing Management, fulltime studies
Course
WM00EJ68

Realization has 3 reservations. Total duration of reservations is 4 h 30 min.

Time Topic Location
Wed 03.09.2025 time 12:00 - 13:30
(1 h 30 min)
Datan hallinta ja visualisointi WM00EJ68-3005
Etäopetus lukujärjestyksen mukaan
Mon 22.09.2025 time 10:00 - 11:30
(1 h 30 min)
Datan hallinta ja visualisointi WM00EJ68-3005
Etäopetus lukujärjestyksen mukaan
Tue 04.11.2025 time 12:00 - 13:30
(1 h 30 min)
Datan hallinta ja visualisointi WM00EJ68-3005
Etäopetus lukujärjestyksen mukaan
Changes to reservations may be possible.

Objective

You understand the basic concepts and principles of data management and databases.
You are able to interpret and create data models.
You are able to visualize and compile data from different sources.

Content

How can data be managed?
What are the principles of databases?
How can data models be interpreted and compiled?
How can data from multiple sources be compiled and visualized with Power BI?

Course material

Available on the Learn platform.

Study forms and methods

Online studies during course implementation. Previous higher education studies may replace the course and can be discussed at the beginning of the course implementation.

RDI and work-related cooperation

Company/organisation specific data may be used and are subject to GDPR and other related regulations.

Timing of exams and assignments

Information to be found on the Learn platform

International cooperation

No international co-operation planned for this implementation.

Student workload

135 h

Evaluation scale

1-5

Assessment methods and criteria

Exams and/or assignments returned to learning platform.

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