BI tools (5 cr)
Code: DA00EZ80-3001
General information
- Enrollment
-
07.04.2025 - 21.04.2025
Registration for the implementation has ended.
- Timing
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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 Data Analytics
- Teachers
- Jarkko Ansamäki
- Teacher in charge
- Jarkko Ansamäki
- Groups
-
DAKV25SVData analytics, online studies
- Course
- DA00EZ80
Realization has 4 reservations. Total duration of reservations is 6 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 12.09.2025 time 10:40 - 12:10 (1 h 30 min) |
Intro: BI-työkalut DA00EZ80-3001 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 26.09.2025 time 14:30 - 16:00 (1 h 30 min) |
Q&A: BI-työkalut DA00EZ80-3001 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 17.10.2025 time 10:40 - 12:10 (1 h 30 min) |
Q&A: BI-työkalut DA00EZ80-3001 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 21.11.2025 time 14:30 - 16:00 (1 h 30 min) |
Q&A: BI-työkalut DA00EZ80-3001 |
Etäopetus lukujärjestyksen mukaan
|
Objective
You can import and clean data from various sources to BI (Business Intelligence) tools.
You can model and combine data from different sources.
You can process data with the BI tool.
You can create different visualisations.
You can publish the reports you create to your target audience.
You can prepare a presentation based on the report you have created.
Content
How can BI tools be utilised in data analytics and reporting?
How do I get data into tools for analysis?
How is data cleaned up?
How do you combine data from different sources?
How can you do data calculation and other data processing?
How is data visualisation done with BI tools in terms of accessibility?
How is a report published?
Evaluation
Students can
b. look for information in the key information sources of data analytics
c. identify interrelated tasks
d. work together with customers/clients, users and target groups
e. use the key models, methods, software and techniques of the data analytics
g. justify their actions according to the ethical principles of data analytics
Course material
The course uses online materials, which are announced on the course platform as the course progresses.
Study forms and methods
This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.
RDI and work-related cooperation
-
Timing of exams and assignments
Exams that are to be included in the overall grade must be completed by the given dates. The project work and peer assessment must be submitted within the specified deadlines.
International cooperation
-
Student workload
1 cr = 27h student work
Course part description
-
Further information
There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on online exams with questions about the theory and the tasks and peer reviewed project work.
There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.