Statistical methods (5cr)
Code: DA00EK59-3002
General information
- Enrollment
- 06.11.2023 - 17.11.2023
- Registration for the implementation has ended.
- Timing
- 01.02.2024 - 30.04.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 2 cr
- Virtual portion
- 3 cr
- Mode of delivery
- Blended learning
- Unit
- Department of Business
- Campus
- Kouvola Campus
- Teaching languages
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Data Analytics
- Teachers
- Atte Reijonen
- Teacher in charge
- Atte Reijonen
- Groups
-
DAKV22SMData analytics, part-time
- Course
- DA00EK59
Unfortunately, no reservations were found for the realization Statistical methods DA00EK59-3002. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation
Students can
use professional vocabulary and concepts in an expert way in different situations.
evaluate information sources critically.
work as team members in working life expert duties and identify and describe the problems of the professional field.
evaluate operations in customer, user and target group situations.
choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
promote teams’ goal-oriented operation.
apply critically the ethical principles of the professional field in different situations.