Data and visual analytics is an emerging field concerned with analysing, modelling, and visualising complex high dimensional data. This course will introduce students to the field by covering state of the art modelling, analysis, and visualisation techniques. It will emphasise practical challenges involving complex real world data and include several case studies and hands on work with programming languages (Python and Markdown) and visualisation software (Tableau and PowerBI).
Link to the lecture slides:
- 1: Introduction
- 2: Data Collection, Storage and Access
- 3: Principles of Data Visualisation
- 4: Introduction to Power BI
- 5: Introduction to Tableau
- 6: Advanced Features in Tableau
- 7: Introduction to Python
- 8: Data Wrangling with Polars
- 9: Visualisation in python with plotnine
- 10: Introduction to Quarto
- 11: Publish your Report with GitHub