Learning Outcomes:
On completion of this module, students will be able to: 1) use a range of Python packages for data science; 2) collect, pre-process, and filter datasets; 3) apply common data analysis procedures and interpret their outputs.
Indicative Module Content:
The topics covered by this module may include:
- Introduction to Python
- Working with Jupyter Notebooks
- Introduction to Data Science
- Data Loading, Storage, and File Formats
- Web Data Collection
- Data Cleaning and Preparation
- Data Manipulation and Wrangling
- Plotting and Visualisation in Python
- Introduction to Modelling and Prediction
- Classification and Evaluation
- Text Mining
- Working with Time Series Data