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
-
HJMI24SMWellbeing 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
|
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.