From manipulation to information
In this training course, you will learn not only about the power of data, but also its pitfalls, through practical examples and exercises. You will find out how to read and interpret information correctly and what steps you need to take to analyze data thoroughly. After completing this Data Literacy training, you will have various tools at your disposal to distinguish information from manipulation based on your curiosity.
ContentsBlock 1: Reading data
- Reading data presented to us in the media, company reports, political claims, and advertising
- How do you distinguish information from manipulation?
- Preventing misinterpretation
- Practical assignment: applying the data checklist to a number of practical situations to improve our data literacy.
Block 2: Working with data
- Improving the quality of your data
- How do you ensure that you maintain this quality?
- Discussing the most important data processing steps.
- Identifying the consequences of data processing
- Practical assignment: assessing the consequences of the various processing steps on the results based on a number of case studies.
Block 3: Analyzing data
- What are the most important steps for thoroughly analyzing data?
- How do you prevent misrepresentation?
- What can we learn from the "scientific method" when it comes to data analysis?
- Practical assignment: performing the most important analytical steps on a practical example.
Block 4: Arguing with and communicating data
- Being right is one thing, but proving yourself right is quite another.
- Transition and difference from analysis to explanation of data
- How do you convince others with data-based arguments?
- What can we learn from storytelling to better convey our data?
- The 7 essential principles for good data storytelling
- Practical assignment: Applying the 7 principles to a practical example
