Data Analytics and BI (3cr)
Code: LT00CF89-3004
General information
- Enrollment
- 13.11.2023 - 17.01.2024
- Registration for the implementation has ended.
- Timing
- 08.01.2024 - 28.04.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- SeAMK Automation Engineering and Information Technology
- Campus
- SeAMK Seinäjoki, Frami
- Teaching languages
- Finnish
- Degree programmes
- Software Engineering
- Teachers
- Mikko Kulmala
- Course
- LT00CF89
Evaluation scale
1-5
Objective
The student understands the importance of business intelligence in today's business. The student knows the basic concepts and methods of data analytics, such as Big Data, data mining and business data analysis. The student understands the different stages of the Business Intelligence implementation process and is able to apply them to a limited problem. The student is able to utilize some of the existing BI tools for analyzing business data.
Content
- the importance of business information management in business
- basic concepts and methods of data analytics
- steps for using and applying BI
- use of an existing BI tool
Materials
Material provided by lecturer and online materials
Teaching methods
Lectures and workshops
Student workload
Luennot ja työpajat 24h, itsenäinen työskentely 57h
Assessment criteria, satisfactory (1)
The student understands the importance of data analytics in today’s business. The student is familiar with the basic concepts and methods of data analytics and BI. The student is able to utilize some BI tool in analyzing business data.
Assessment criteria, good (3)
The student understands the importance of data analytics as a competitive advantage in today’s business. The student knows the basic concepts and methods of data analytics and BI. The student is able to utilize some BI tool in analyzing business data.
Assessment criteria, excellent (5)
The student understands the importance of data analytics as a competitive advantage in today’s business. The student is familiar with the basic concepts and methods of data analytics and BI. The student is able to utilize and apply some BI tool in analyzing business data.