Business Intelligence (5 cr)
Code: R0404-3008
General information
- Enrollment
-
22.05.2023 - 30.08.2023
Registration for the implementation has ended.
- Timing
-
01.09.2023 - 31.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual proportion
- 5 cr
- Mode of delivery
- Distance learning
- Campus
- Laurea Virtual Campus
- Teaching languages
- English
- Seats
- 20 - 40
- Degree programmes
- Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet
Learning outcomes
The student is able to
- understand the connection between the analytical tools that can be used on real data in companies and the decision-making
- use analytical skills to work with the data, to understand it and to turn it into intelligence for particular decisional contexts
Location and time
The location of lessons will be in Zoom.
All the sessions are conducting on Fridays from 9:00 to 11:30 am.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE
Materials
Sharda, R., Delen, D., Turban, E., Aronson, J. E., Liang, T. & King, D. 2018. Business intelligence, analytics, and data science: A managerial perspective. Fourth edition. Global edition. Harlow, England: Pearson.
Teaching methods
Lecturing
Group Discussion
Individual Assignment
Project Task for a group of two.
A multiple choice question examination at the end of the study unit based on the concepts studied during the study unit.
Employer connections
Company visitors will be giving lectures on business intelligence tools
Exam schedules
Time Status Teaching group Description
01.09.2023 09.00 - 11.30 External room : Zoom
08.09.2023 09.00 - 11.30 External room : Zoom
15.09.2023 09.00 - 11.30 External room : Zoom
22.09.2023 09.00 - 11.30 External room : Zoom
29.09.2023 09.00 - 11.30 External room : Zoom
06.10.2023 09.00 - 11.30 Project Evaluation
13.10.2023 09:00-16:00 Project Evaluation
30.10.2023 09.00 - 11.30 Exam in CANVAS
27.11.2023 09.00 - 11.30 Feedback
International connections
The tools you are learning out of the study unit are internationally accepted.
Student workload
Medium work load
Content scheduling
Foundations of Business Intelligence
Data Models
Data Visualization
Tools of Data Analytics and Visualization
Focus on a specific Business Analytic Tool- Power BI
An external expert talk- hands-on experience with BI
A project and its report with presentation
Examination
Evaluation scale
H-5
Further information
Skill set you will build
- Proven approaches to business intelligence projects
- Identifying the uses and benefits of data models, pipelines, data visualizations, and dashboards
- Collaboration with team members, stakeholders, and users, as well as an understanding of their roles and priorities
- Planning processes for a successful project
- Networking to tap into the business intelligence community
- Demonstration of key knowledge and skills during a job search