Data Literacy

This training is designed for anyone who wants to understand and analyse data more quickly and communicate effectively.

In this training you will learn:

• How to get more value out of your data;
• interpret data correctly;
• recognise the pitfalls of data;
• Improve and maintain the quality of your data;
• the most important steps to take in order to analyse data in depth;
• convince others with data-based arguments.
  

Block 1: Reading data

• Reading data presented to us in the media, company reports, political claims and advertisements
• How to distinguish information from manipulation
• Preventing misinterpretation

Practical assignment: applying the data checklist to a number of practical situations to promote our Data Literacy.

Block 2: Working with data

• Improving the quality of your data
• How do you ensure that you retain this quality?
• Discussing the most important data processing steps.
• Identifying the consequences of data processing

Practical assignment: estimating the consequences of the different processing steps on the results on the basis of a number of cases.

Block 3: Analysing data

• What are the most important steps to analyse data thoroughly?
• How do you prevent deception?
• 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 being 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 communicate our data?
• The 7 essential principles of good data storytelling

Practical assignment: Applying the 7 principles to a real-life example