Description
Miles demonstrates how some simple Python programming can help students' understanding of key ideas in probability and statistics, and how these domains can provide a useful context for practising coding skills. The main focus of the session follows a worked example in which Miles explores publicly available weather station data to give a flavour of how a data-based project could be approached through Python coding. Miles walks us through a question > acquire > clean > explore > visualise > model > communicate workflow that can be applied to many data science projects. The toolset here builds on students' growing understanding of programming in Python, extending that to some of the great libraries now available for doing data science. An appreciation for how Python programming can be used to explore statistical concepts and datasetsEstimated audience numbers (if applicable)
20| Period | 8 Apr 2021 |
|---|---|
| Event title | ATM Annual Conference 2021: Revisualising |
| Event type | Conference |
| Location | United KingdomShow on map |
| Degree of Recognition | National |