Introduction

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
- 13 Data validation
- 14 Introduction to testing code for data science
Automation
Packages and Continuous Integration + Deployment
Wrap Up
- 22 Copyright and licenses
- 23 Workflows for reproducibile and trustworthy data science wrap-up
Appendix

Introduction

We begin with an introduction to what is reproducible and trustworthy data science. This section also covers basic shell commands for us to start interacting with our computer.

1 How do reproducible and trustworthy workflows impact data science?