Basics of data analyticsLaajuus (5 cr)
Code: WM00EJ66
Credits
5 op
Teaching language
- Finnish
- English
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?
Materials
Data management and visualization
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 12.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
HJMI23SMWellbeing Management, fulltime studies
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?
Materials
Will be presented in learning environment.
Teaching 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.
Employer connections
-
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
Exercises returned in learning environment.
Enrollment
07.11.2022 - 18.11.2022
Timing
09.01.2023 - 23.04.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
HJMI22SPWellbeing Management, fulltime studies
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 scale
1-5
Enrollment
07.11.2022 - 18.11.2022
Timing
09.01.2023 - 23.04.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
WMMI22SPWellbeing Management, full-time studies
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?
Materials
Is presented in learning environment.
Teaching 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.
Employer connections
-
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.
Enrollment
08.11.2021 - 21.11.2021
Timing
10.01.2022 - 01.05.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
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
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?
Materials
Is presented in learning environment.
Teaching 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.
Employer connections
-
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.