Finding stories in data

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

When effectively analysed and presented in a clear and compelling way, data has the potential to create impact. At the heart of driving change is the skill of finding and telling stories using, where relevant, compelling visualisations.

No field is more experienced at finding and telling stories than journalism, and no field better at using data than data science. This set of modules looks at what these fields can learn from each other, in order to find and tell compelling stories with data.  Modules include mini quizzes, videos many visual aids, and opportunities to monitor your progress in completing the modules, and providing feedback.   Data module topics are:
1. Introduction to data storytelling
2. The four step process
3. Understanding your rights to use data
4. Gathering data
5. Organising data
6. Cleaning data
7. Filtering and pivot tables
8. Data visualisation formats
9. Data visualisation best practice
10. Visual deception
11. Narrating your story

Authoring Organization(s) Name: 
Open Data Institute
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data cleaning
Data communication
Data curation
Data formats
Data handling
Data visualization
Organizing data
Publisher - organization credited with publishing or broadcasting the learning resource: 
Open Data Institute
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contributor Organization(s): 
Name: 
European Union’s Horizon 2020 research and innovation programme
Type: 
Funding and sponsorship
Name: 
European Data Science Academy
Type: 
Project administration and management
Contact Organization(s): 
Open Data Institute
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Citizen scientist
Data manager
Early-career research scientist
Educator
Graduate student
Librarian
Mid-career research scientist
Publisher
Research faculty
Research scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)