Welcome to Reproducible Data Science

Welcome to the textbook Reproducible Data Science: Accessible Data Analysis with Open Source Python Tools and Real-World Data 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
Lecturer in Computational Social Science
Department of Sociology
University of Essex
valentin.danchev@essex.ac.uk
@valdanchev
@valdanchev

License

License: CC BY-SA 4.0

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