Contents
Introduction to data visualization
- Effective data communication.
- Methods for data visualization.
Reporting with Power BI
- Data preparation and manipulation.
- Choose the right graphic.
- Structure of detail levels.
- Information density.
- Practical exercises with AI-supported functions with the Q&A visualization.
- Best Practices.
Effective use of graphical data and information
- Design, legibility, visual guidance.
- Expressive and clear visualizations.
- Types and design of dashboards.
Learning environment
Your benefit
- You are familiar with various data visualization options.
- You can use Power BI to create dashboards and visualizations.
- You know how to successfully use visualized data for effective presentation and communication in your company.
- You will acquire the ability to use AI functions in Power BI for dynamic and interactive dashboards.
- You will gain confidence in using AI tools to make reports and presentations even more data-driven.
Methods
Lecture to explain theory, explanation of practical examples and application in the software, discussion, independent completion of exercises and assistance from the trainer.
Lecture to explain theory, explanation of practical examples and application in the software, discussion, independent completion of exercises and assistance from the trainer.
Recommended for
Data analysts, future data scientists and interested specialists and managers who have little or no experience with data science and want to visualize large amounts of data and use it in a targeted manner.
Seminar evaluation for "Data visualization and data presentation"







Start dates and details

Tuesday, 15.07.2025
09:00 am - 4:30 pm

Thursday, 16.10.2025
09:00 am - 4:30 pm

Monday, 02.02.2026
09:00 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.