This course is delivered fully online, with self-paced interactive modules supported by live virtual sessions where you will have the opportunity to discuss and ask questions.
The following modules comprise the key stages of developing a data story:
Module 1: Understanding your context
- Understanding the problem context
- Asking the right questions
- Types of data stories.
Module 2: Collecting data
- Data collection methodologies
- Sampling approaches and pitfalls
- Cleaning and wrangling data.
Module 3: Exploring data
- Descriptive statistics
- The shape of data
- Data visualisations.
Module 4: Analysing data
- Correlation
- Statistical methods
- Advanced analysis techniques.
Module 5: Building a data story
- Supporting data claims
- Fallacies and bias
- Evaluating data stories.
The key assessment task – writing your own data story – is threaded throughout the whole course, so that the self-paced online activities contribute to your final assignment piece. There are opportunities to receive feedback on your progress during the course.
Course delivery
This course is fully online and self-paced to provide flexibility to your studies. Participants work through individual and collaborative online activities designed to help research and create a polished data story, which forms the final summative assessment challenge.
Participants will also have the opportunity to participate in live Q&A sessions with an academic expert, who will provide guidance and support in crafting the data story.
