This microcredential has been developed in collaboration with the Faculty of Science and the Connected Intelligence Centre. It is delivered online and is largely self-paced, designed to fit in with participant’s busy schedules.
The following content will be covered during this course:
Module 1: Understanding your problem
- Identify the domain you want to explore with data
- Compare the kinds of problems that can be solved by understanding people
- Describe the problem you want to solve and build an argument for why it is needed.
Module 2: Finding data about people
- Identify relevant data to solve questions in your domain
- Find open data or generate your own datasets to understand people
- Understand and prepare your datasets for further analysis.
Module 3: Analysing your data
- Identify the best technique to answer specific questions, using your data
- Identify different techniques to analyse the data, as well as additional tools you can use to understand other people's data
- Solve questions about your specific domain using your data
- Validate additional considerations.
Module 4: Insights beyond data
- Recognise common errors that researchers and analysts make when analysing and interpreting data
- Consider contextual data to strengthen identification of meaningful information.
- Recognise qualitative approaches that can help to understand people's data
- Understand ethical implications.
Course delivery
The course is delivered online. Participants will be required to complete self-paced learning supported by formative assessment tasks, in order to develop their skills and knowledge. Participants will then apply these skills to a final, assessed project.
