COURSE OBJECTIVE:
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.
TARGET AUDIENCE:
This training is designed for anyone who wants to understand and analyse data more quickly and communicate effectively.
COURSE PREREQUISITES:
Not available. Please contact.
COURSE CONTENT:
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
FOLLOW ON COURSES:
Not available. Please contact.