Open-Access Textbooks

The following open-access textbooks, built with Jupyter Book, provide step-by-step Python tutorials covering data analysis and statistical inference, with executable code examples and exercises drawn from economics and business datasets.

• Python for Data Analysis — companion text for the Data Analytics and Data Analysis modules, covering Python fundamentals, pandas, data visualisation, regression, and dashboard creation with Streamlit.

• Python for Statistics and Quantitative Methods — companion text for the Quantitative Methods and Statistics module, with expanded coverage of data visualisation, filtering, and a statistics-focused regression case study.

Currently teaching the following at the University of Winchester

1. Principles of Economics (1st Yr, 2021 - current)

2. Microeconomic Analysis (2nd Yr, 2021 - current)

3. Behavioral Economics & Finance (3rd Yr, 2021 - current)

4. Monetary & Financial Economics (3rd Yr, 2021, 2025 - current)

5. Data Analysis (2nd Yr, 2025-current) [Python Notes/Book]

6. Data Analytics and Modelling (PG, 2022 - current) [Python Notes/Book]

7. Quantitative Methods and Statistics (1st Yr, 2025 - current) [Python Notes/Book for Stats]

8. Introduction to Excel (1st Yr, 2025-current)