Data Science for Software Engineers

This tutorial is a short introduction to data science for software engineers that uses software engineering questions and data to introduce common statistical tools and methods. Help is welcome, but please note that all contributors must abide by our Code of Conduct.

Learner Persona

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Lessons

1. Introduction
2. Working with Dataframes
3. The Size of Software
4. Hypothesis Testing
5. Conclusion

Appendices

1. License
2. Code of Conduct
3. Contributing
4. Bibliography
5. Glossary

Acknowledgments {: #acknowledgments}

• Greg Wilson is a programmer, author, and educator based in Toronto. He was the co-founder and first Executive Director of Software Carpentry and received ACM SIGSOFT's Influential Educator Award in 2020.

Start where you are
Use what you have
Help who you can