Workshops
Over these three days we’ll cover six sessions of content:
| Session | Description |
|---|---|
| The Fundamentals | The basics of Python. Variables, functions and modules. |
| Data processing | Importing, manipulating and analysing data with pandas |
| Visualisation | Creating visualisations of our data with seaborn, matplotlib and plotly |
| Sharing and Publishing | Using GitHub for sharing and version control, as well as quarto for publishing dashboards and websites. |
| Statistics | Descriptive and inferential statistics, with some regressions and hypothesis testing, using scipy.stats and statsmodels |
| Programming Essentials | Python tools everyone should know. Conditionals, loops, functions and importing scripts. |
These content sessions are pretty packed, and we won’t have too much time to deviate. That’s why we’ll also have five project sessions - see The Project for details. You’re welcome to ask lengthier questions and play around there!