Data Validation
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Reproducible and Trustworthy Workflows for Data Science

Welcome
Introduction
- 1 How do reproducible and trustworthy workflows impact data science?
- 2 Introduction to the Bash Shell
Version Control
Projects, Environments, and Containers
Data Validation
Automation
Software Testing for Data Science
Packaging
Continuous Integration
Continuous Deployment
Wrap Up
- 48 Copyright and licenses
- 49 Workflows for reproducibile and trustworthy data science wrap-up
Appendix

Data Validation
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TBD

See this workshop repo for reference: https://github.com/posit-conf-2024/ds-workflows-r

16 Data validation

18 Python Data Validation: Pandera