Series
The Missing Semester of Your DS Education
Heavily inspired by The Missing Semester of Your CS Education, this is a series on all of the aspects of doing data science that you probably didn’t learn in class or from doing research. I’ve learned a lot in the past few years about what it takes to do data science professionally and, frankly, my data science education had some gaping holes. The goal of this series is to help others fill some of those holes (to the best of my ability) by sharing some of the things I’ve learned along the way from great mentors and terrible mistakes.
| Date | Title | Reading Time |
|---|---|---|
| Apr 1, 2023 | Writing Internal Libraries for Analytics Work | 14 min |
| Apr 5, 2023 | Unit Testing Analytics Code | 14 min |
| Apr 24, 2023 | Pull Requests, Code Review, and The Art of Requesting Changes | 12 min |
| May 6, 2023 | Workflow Orchestration | 8 min |
| May 14, 2023 | Experiment Tracking and Model Versioning | 9 min |
| May 28, 2023 | Dependency Management | 10 min |
| Jun 6, 2023 | A Gentle Introduction to Docker | 12 min |
| Jun 21, 2023 | How Can Someone Else Use My Model? | 10 min |
| Aug 3, 2023 | On Doing Data Science | 10 min |
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A/B Testing
A series on common pitfalls in A/B testing and how sequential testing solves many common A/B testing problems.
| Date | Title | Reading Time |
|---|---|---|
| Mar 25, 2022 | A/B Testing: A Primer | 4 min |
| Apr 9, 2022 | Running A/B Tests | 5 min |
| Apr 10, 2022 | Calling A/B Tests | 7 min |
| Apr 17, 2022 | Sequential Testing | 5 min |
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All Posts
To see all of my blog posts, go to the posts page