Practical Data Science
My peers at Mozilla are running workshops on opportunity sizing. If you're unfamiliar, opportunity sizing is when you take some broad guesses at how impactful some new project might be before writing any code. This gives you a rough estimate of what the upside for this work migh…
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I spent some time earlier this year orchestrating a massive experiment for Firefox. We launched a bunch of new features with Firefox 80 and we wanted t…
Ryan Harter
Jan 7CommentShare
Welcome to Practical Data Science by me, Ryan Harter. Principal Data Scientist @ Mozilla Sign up now so you don’t miss the first issue. In the meantime…
Ryan Harter
Jan 6CommentShare
Leading with Data - Cascading Metrics It's surprisingly hard to lead a company with data. There's a lot written about how to set good goals and how to …
Ryan Harter
Dec 9, 2020CommentShare
Last week, one of my peers asked me to explain what I meant by "Data Intuition", and I realized I really didn't have a good definition. That's a proble…
Ryan Harter
Oct 20, 2020CommentShare
A year or so ago, I read this article about how Wells Fargo ended up in such a mess. If you don't remember, Wells Fargo was opening accounts in their c…
Ryan Harter
Oct 7, 2020CommentShare
Every other week, I go through my todo list and decide where I should focus my attention. I review a list of prompts that help me choose important work…
Ryan Harter
Jul 10, 2020CommentShare
Economists have a handy phrase to describe a fairly common fallacy: "Post hoc ergo propter hoc" meaning "After, therefore because". Wikipedia has an ex…
Ryan Harter
Jun 17, 2020CommentShare
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Practical Data Science


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