Data Visualisation and Analytics
| Degree programme | Business Administration: International Marketing & Sales |
| Subject area | Business and Management |
| Type of degree | Master Part-time Winter Semester 2024 |
| Course unit title | Data Visualisation and Analytics |
| Course unit code | 800101022404 |
| Language of instruction | English |
| Type of course unit (compulsory, optional) | Elective |
| Teaching hours per week | 2 |
| Year of study | 2024 |
| Level of the course / module according to the curriculum | |
| Number of ECTS credits allocated | 3 |
| Name of lecturer(s) | Heidi WEBER |
Basic knowledge of MS Excel
• Strategies for data and analysis
• Data and data structures
• Using MS Excel with PowerPivot for data analysis
• Using PowerBI for data analysis
• Creation of dashboards
• Designing data visualisations for specific target groups
• Presenting complex data correlations
Students learn that a strategy is needed to use data properly. They can ask the right questions to be able to get relevant answers from the data. They know how to identify the information that is relevant for decisions in the organisation or in their personal lives.
Students are able to acquire, evaluate and prepare digital data from their own organisation and from external sources.
They know how simple data models are created and can understand data structures with multiple tables.
They are able to create data analyses in Microsoft Excel and Microsoft Power BI.
They will be able to create simple dashboards in Power BI.
They will be able to visualise data and adapt it for goal-oriented presentations to a specific target group.
Impulse lecture, exercises, discussion.
Later: Teamwork on concrete, self-selected challenges.
Immanent examination character
Active participation
Project work and presentation.
According to the current status, MS Excel and Power BI on a Windows operating system are required for the exercises.
Bakhshi, Soheil (2021): Expert Data Modeling with Power Bi. S.l.: PACKT PUBLISHING LIMITED.
Cairo, Alberto (2019): How charts lie: getting smarter about visual information. Online im Internet: How Charts Lie by Alberto Cairo · OverDrive: ebooks, audiobooks, and more for libraries and schools (Zugriff am: 14.07.2023).
Ferrari, Alberto; Russo, Marco (2017): Analyzing Data with Power BI and Power Pivot for Excel. Redmond, Washington: Microsoft Press.
Heath, Chip; Starr, Karla (2022): Making Numbers Count: The art and science of communicating numbers. London: Bantam Press.
Knaflic, Cole Nussbaumer (2015): Storytelling with data: a data visualization guide for business professionals. Hoboken, New Jersey: Wiley.
Four of the eight lectures are in-class, and four (sessions 2 to 5) are online lectures.