The module will provide an introduction to data science principles and techniques for masters students on psychology and neuroscience programmes. Topics covered will include:
1. The role of code in data exploration and analysis
2. Loading, selecting information from and visualizing data sets
3. Programming for data analysis.
4. Data structures, including arrays and data frames.
5. Principles of inference using simulation and resampling.
6. Straight line relationships with correlation and regression.
Students will complete a structured data analysis exercise, in which they explore a novel data set, and do statistical inference to answer questions arising from the data. This will form the basis of the course assessment.
Assessment:
18% Coursework assignments
82% Structured data analysis coursework