Data Analysis and Visualisation with PowerBI

Power BI is one of the most used software for data-driven decision making in industry. Power BI allows to easily integrate different data sources, to create data models and to realize effective data representations that facilitate the data analysis and the information sharing within an organization. This course targets participants with little to no experience in Power BI and data analysis and illustrates the basic software functionalities and capabilities. The course content is disseminated through slides, Power BI guide-trough with the instructor and in-class exercises.

General information

Duration 12 hours
  • Introduction to Power Bi desktop and software layout
  • Data gathering and transformations via Power Query
  • DAX: measures, calculated columns and tables
  • Visuals, filters and slicers
  • Data relationships and hierarchy
  • Time analytics: date tables, calendar and time-intelligent functions
Power BI desktop (free) must be installed on the participant’s computer. Power BI Desktop runs only on a Windows computer.
Students and employees of the University of Zurich.
By taking this course, participants will be able to clean and integrate several different data sources in Power BI. Participants will be able to create simple data models, composed by multiple relationships across different data sources. Furthermore, participants will gain experience in creating reports and employing analytics with several data types. Participants will acquire some best practices for data analysis in Power BI and will learn how to deliver visually effective data representations via Power BI reports.
The course material comprises slides as well as exercise data files and will be provided in class.


Code Referents Dates Available seats Place
FS23-WPI2 Christen Urs 16.06.2023 - 07.07.2023 (09:00 - 12:00 Time)
9 Universität Zürich Irchel Register

Please note before booking

Before booking your course, please note our General Conditions of Participation (pdf, 92 KB) but especially our Fair Play: Registration and Deregistration (pdf, 299 KB).... Thank you very much!




Contact details

Course programme of the FS23:

The program for the spring semester 2023 (pdf in German, 475 KB) will be online from January. Registration is possible from 01.02.2023 (during the night from approx. 01:00)

CMS, OLAT and Science IT courses also allow prior registration