Understanding and using data: Your introduction to data literacy
Basics of data literacy
Contents
Strategy & basics
- Discover the possibilities: What can you achieve with data?
- Get to know the components of the value creation process.
- Develop a structured approach for data-based decisions.
The structured data process
- Introduction to the CRISP-DM model as a proven roadmap for successful projects.
Collect data: Source, structure & quality
- Identify relevant sources and assess their quality.
- Recognize bias early on - why it occurs and how to avoid it.
- Exercise: Analyze sample data for biases.
Types of data analysis
- The four stages of analysis.
- Be careful with the "average" - interpret figures correctly!
- Select the appropriate diagram for your question.
- Exercise: Develop meaningful visualizations and work with a dashboard.
Communication: Visualization & storytelling
- Avoid misleading representations through clear visualizations.
- Tell compelling stories with your data results.
Ethical handling of data
- Consider aspects such as fairness, bias and data protection (GDPR & EU AI Act).
Summary & action plan
- Develop concrete steps for integrating data-based approaches into your everyday work with the help of a guided exercise.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
After training you can:
- Independently plan and implement the first steps of the proven CRISP-DM process.
- Identify relevant data sources and evaluate their quality.
- Recognize and avoid bias.
- Create meaningful diagrams and perform visual analyses.
- Communicate clearly with "data storytelling" - in the team or in front of stakeholders.
- Consider ethical aspects of data protection (GDPR).
Methods
Presentations alternate with group work, interactive exercises and practical workshop sessions. Thanks to the mix of theory, discussions and direct application, you will acquire in-depth knowledge that can be used immediately.
This training is aimed at:
- Employees without prior technical knowledge who want to make their work more data-based.
- Specialists from areas such as marketing, controlling or HR who regularly work with reports/data.
- Managers/project managers who want to better understand or manage data-driven discussions.
No technical knowledge is required! The focus is on understandable concepts and practical applications for everyday work.
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Start dates and details
Wednesday, 04.03.2026
09:00 am - 5:00 pm
Thursday, 05.03.2026
08:30 am - 12:30 pm
Tuesday, 12.05.2026
09:00 am - 5:00 pm
Wednesday, 13.05.2026
08:30 am - 12:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Tuesday, 28.07.2026
09:00 am - 5:00 pm
Wednesday, 29.07.2026
08:30 am - 12:30 pm
Monday, 02.11.2026
09:00 am - 5:00 pm
Tuesday, 03.11.2026
08:30 am - 12:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Thursday, 04.02.2027
09:00 am - 5:00 pm
Friday, 05.02.2027
08:30 am - 12:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Frequently Asked Questions (FAQ)
The training practical exercises for analyzing, visualizing, and communicating data. You will practice with sample data, create charts, and learn how to present results in a clear and understandable way. This will enable you to apply what you learn directly in your everyday work.
You don't need any prior technical knowledge. The training structured in such a way that the basics of data work are taught in an understandable way, so that even beginners can develop a solid understanding of data processes and tools.
After the training , you training independently plan the first steps of a structured data process, identify suitable data sources, and evaluate data quality. These skills will help you approach data-based projects methodically and implement them more successfully.
You will not only gain theoretical knowledge, but also practical exercises and an action plan that you can apply directly in your everyday work. This will enable you to continuously improve your data skills and successfully master data-based challenges in your profession.
Data literacy is important for many professional roles today, especially if you regularly deal with numbers, reports, or decisions. This includes employees without prior technical knowledge, specialists in areas such as marketing, controlling, or HR, and managers or project leaders who need to understand or steer data-based discussions. The training you training practical knowledge so that you can confidently tackle data-based issues and communicate better within your team.
