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Business Intelligence (5 cr)

Code: R0404-3006

General information


Enrollment
23.05.2022 - 29.05.2022
Registration for the implementation has ended.
Timing
01.09.2022 - 31.12.2022
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual proportion
5 cr
RDI proportion
3 cr
Mode of delivery
Distance learning
Campus
Laurea Virtual Campus
Teaching languages
English
Seats
40 - 60
Degree programmes
Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
Teachers
Jouni Takala
Marjaana Ajanto
Teacher in charge
Jouni Takala
Study unit
R0404

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

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

The location of lessons will be in Zoom.

Employer connections

Company visitors will be giving lectures (e.g. SAS Analytics)

Evaluation scale

H-5

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