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ELE 3791 Business Intelligence with Power BI

ELE 3791 Business Intelligence with Power BI

Course code: 
ELE 3791
Department: 
Data Science and Analytics
Credits: 
7.5
Course coordinator: 
Jonas Moss
Course name in Norwegian: 
Business Intelligence with Power BI
Product category: 
Bachelor
Portfolio: 
Bachelor - Electives
Semester: 
2025 Autumn
Active status: 
Active
Level of study: 
Bachelor
Teaching language: 
English
Course type: 
One semester
Learning outcomes - Knowledge

Upon finishing the course, students will be able to:

  • Understand and use the basics of Power BI, such as Power Query, Power Pivot, and Power View.
  • Explain the formula language DAX, its syntax, powers, and limitations.
  • Describe the scripting language M and how it relates to DAX.
  • Comprehend the principles behind informative and professional graphs.
Learning outcomes - Skills

Upon finishing the course, students will gain the ability to:

  • Process, analyze, and visualize data with Power BI.
  • Build interactive dashboards and generate detailed reports.
  • Implement queries and establish connections to external data sources.
  • Use M for data preprocessing and DAX for data modification.
Course content
  • Introduction to Power BI and the Power Cloud ecosystem.
  • Connecting to data sources such as databases and Excel sheets.
  • Data querying with DAX:
    • Variables.
    • Functions.
    • Conditionals and control flow.
    • Data filtering using, e.g., FILTER, ALL, and ALLEXCEPT.
    • Relationship to Excel programming.
  • Data preprocessing with Power Query and M.
    • Combine data.
    • Transform data.
    • Handle errors and NULLs in data.
    • Write custom preprocessing functions with M.
  • Model data: Create relationships, design tables, and calculate columns
  • Visualization with Power View
  • Interactivity and dashboards
  • Report design
  • Connecting Power BI to other tools, such as Excel
Teaching and learning activities

Organized classes combining classical lectures with discussing and solving practical problems. (Students are expected to prepare for these sessions by going through selected material.) in total 45 hours.

The course requires access to Microsoft Power BI.

Software tools
Software defined under the section "Teaching and learning activities".
Qualifications

Higher Education Entrance Qualification

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Required prerequisite knowledge

No particular prior knowledge is required.

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Submission other than PDF
Exam/hand-in semester: 
First Semester
Weight: 
100
Grouping: 
Group/Individual (1 - 3)
Duration: 
1 Week(s)
Exam code: 
ELE 37911
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
28 Hour(s)
Teaching
17 Hour(s)
Feedback activities and counselling
Group work / Assignments
63 Hour(s)
Homework exercises (ungraded, solved individually or in groups of 2-3 students)
Student's own work with learning resources
52 Hour(s)
Examination
40 Hour(s)
Sum workload: 
200

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.

Link til pensumliste
Pensumliste

Semester

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