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.
## Contact
**[Valentin Danchev](https://valdanchev.github.io)**\
Lecturer (Assistant Professor) in Business Analytics\
Department of Business Analytics and Applied Economics\
School of Business and Management\
Queen Mary University of London\
`v.danchev@qmul.ac.uk`\
[@valdanchev](https://valdanchev.github.io)\
[@valdanchev](https://twitter.com/valdanchev)
## License
[![License: CC BY-SA 4.0](https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg)](http://creativecommons.org/licenses/by-sa/4.0/)
_Reproducible Data Science with Python_ by [Valentin Danchev](https://valdanchev.github.io) is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).