Reproducible Data Science with Python

Welcome to the textbook Reproducible Data Science with Python by Valentin Danchev. The textbook uses real-world social data sets related to the COVID-19 pandemic to provide an accessible introduction to open, reproducible, and ethical data analysis using hands-on Python coding, modern open-source computational tools, and data science techniques. Topics include open reproducible research workflows, data wrangling, exploratory data analysis, data visualisation, pattern discovery (e.g., clustering), prediction & machine learning, causal inference, and network analysis.


Valentin Danchev
Lecturer (Assistant Professor) in Business Analytics
Department of Business Analytics and Applied Economics
School of Business and Management
Queen Mary University of London


License: CC BY-SA 4.0

Reproducible Data Science with Python by Valentin Danchev is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.