Reproducible Data Science with Python: An Open Learning Resource
Valentin Danchev · Journal of Open Source Education · 2022
This paper describes a computational learning resource on Reproducible Data Science with Python.The resource provides an accessible, hands-on introduction to data science techniques, skills, and workflows necessary to perform open, reproducible, and ethical data analysis.By using research problems of real-world relevance (such as vaccine hesitancy and the impact of COVID-19 lockdown measures on human mobility) and real-world social data (including anonymised mobility data from digital sources and recent COVID-19 survey data), the resource encourages students to use open-source tools and coding to learn from diverse and large social data sources.