The business world has shown an increasing need for talents with advanced data analytic skills and strong
capabilities to translate and communicate findings in an accessible way. These highly sought-after skills help
organizations to tackle business problems and make decisions based on a deep understanding of hard evidence.
Big data analytics helps organizations to get the most out of their data in various aspects, including identifying
new opportunities, better-allocating investments, developing better customer insights, designing more innovative
marketing strategies, devising more efficient operations, and discovering new products and services.
During the course, the students will be introduced to Data Analytics within a business environment. The students
will learn and practice several commonly used business analytics techniques that can help then to set-up analytics
projects in their future organizations. The students will also learn and practice the interpretation of results and
decision making based on the analysis.
3 ECTS: Data visualization for business problems with Power BI (DV)
6 ECTS: Data analytics for business problems with JASP (DA)
6 ECTS: Capstone project with business data (project)
Students can choose: 6 ECTS: 6ECTS (DA); 9 ECTS: 3ECTS (DV) + 6ECTS (DA); 15 ECTS: 3ECTS (DV) + 6ECTS (DA) +
6ECTS (project)
It is not possible to choose 3ECTS (DV) alone, its not possible to choose 6ECTS (project) alone, its not possible to
choose 3ECTS (DV)+ 6ECTS (project) without 6ECTS (DA).

LEARNING OUTCOMES:
PLO Module Learning Outcome: Level (1-3)
TWM24 Explain the analytics methods used in a business setting. 3
TWM24, WT1 Justify the choice in methodology for problems in different business
context.
3
TWM24, WW7not applicable if
students only
choose
6ECTS(DA)
Apply Power BI on business data for explanatory data analysis. 3
TWM24, WW7 Apply machine learning methods on business data using JASP. 3
WW6 Work efficiently in the group to accomplish a common goal within
an intercultural team.
2
WW4not applicable if
students only
choose
6ECTS(DA)
Present complicated data in an accessible way to a professional
audience.
3
WT1, WT3 Interpret results from analytics to propose valid business decisions. 3

Assesment Form Weight or P/F Minimum Required
Grade.
Additional Explanation:
(e.g. multiple choice/open book etc)
Power BI with
presentation (DV)
100% for DV
component
5.5 Power BI with group presentation: group
grade+individual grade
Assignment (DA) 100% for DA
component
5.5 Weekly group assignment with group grade
Report (project) 70% for project
component
5.5 Group assignment: only group grade
Presentation
(project)
30% for project
component
5.5 Group presentation: group grade+individual grade
The combination of DV, DA and project will take each component equally.
For example, 9ECTS final grade consists of 1/2 of DV grade +1/2 of DA grade;15ECTS final grade consists of 1/3 of DV
grade +1/3 of DA grade +1/3 of project grade.
No compensation, each assessment needs to pass with a minimum of 5.5