Basics of data analytics (5cr)
Code: WM00EJ66-3001
General information
- Enrollment
- 08.11.2021 - 21.11.2021
- Registration for the implementation has ended.
- Timing
- 10.01.2022 - 01.05.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Liiketalouden koulutusyksikkö, Mikkeli (vanhennettu)
- Campus
- Ecampus
- Teaching languages
- English
- Finnish
- Seats
- 0 - 60
- Degree programmes
- Degree Programme in Wellbeing Management
- Teachers
- Heli Manninen
- Teacher in charge
- Heli Manninen
- Groups
-
WMMI21SPWellbeing management, full-time studies
- Course
- WM00EJ66
Unfortunately, no reservations were found for the realization Basics of data analytics WM00EJ66-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Objective
You are able to process and analyse collected data.
You are able to interpret data.
You understand the value of data and big data.
Content
How to process and analyse data with Excel?
How to make interpretations based on collected data?
What is the value of data and big data?
Evaluation
Students can
• use professional vocabulary systematically
• evaluate information sources critically
• identify interrelated tasks
• use the key models, methods, software and techniques of the professional field
Course material
Is presented in learning environment.
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
-
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
Students can
• use professional vocabulary systematically
• evaluate information sources critically
• identify interrelated tasks
• use the key models, methods, software and techniques of the professional field
Assessment criteria equals to grade 3.