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Dan Saber

Fear, loathing, Data Science

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danielsaber

Jetsam (My Non-Data Blog)

I have a confession to make: I've been cheating on this blog with another -- jetsam.substack.com. I still love this blog very much, and I'll continue using it for my writing on Data Science and other "professional" topics. But if... Continue Reading →

My Q&A with the Coursera Community

Howdy! I did a Q&A with the wonderful Coursera Community that I wanted to pass along. It was a fun exercise, as it helped me crystallize my thinking on a range of hiring- and career-related topics. Read on for deeply... Continue Reading →

My Novel

That's Right, I Wrote A Novel Hello, prospective content consumer! I'd like to hawk you my book tell you about my comedic/philosophical novel, Good Intentions. It's about an angel working at a heavenly bureaucracy that's being "disrupted" by the smartphone... Continue Reading →

For The Economist: Corporate Wokeness and Campaign Finance

I was interested in whether "woke" companies donate disproportionately to Democrats, or if their embrace of progressive causes is one big branding exercise. The answer? Kinda both (but mostly branding)! I'm unbelievably proud to say that my findings were published... Continue Reading →

Partner-Driven A/B Testing at Coursera

EDIT: Thanks to commenter gruddock, I learned that the conference organizers took down the talks from YouTube. Please see here for the slides. They include complete speaker notes. I recently attended the Data Science Innovation in eLearning Conference (hosted by Udemy... Continue Reading →

Time Keeps on Slipping: Exploiting Time for Causal Inference with Difference-in-Differences and Panel Methods

Note: This post assumes a passing familiarity with linear regression. Aside from that, it's a highly applied intro to D-in-D regression and panel data techniques. In Due Time In one of my favorite episodes of Futurama, the universe experiences "time skips."... Continue Reading →

For Inside Big Data: Making the Leap from Data Science Hopeful to Practioner

I wrote a post for Inside Big Data on transitioning into Data Science -- a topic I'm actually qualified to give advice on! It’s a familiar dilemma. You’ve done your research, read some books, taken some online classes – and at long... Continue Reading →

A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair)

Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas's Altair, a promising young visualization library. Altair seems well-suited to addressing Python's ggplot envy, and its tie-in with JavaScript's Vega-Lite grammar means that as the latter develops new... Continue Reading →

Analyze Your Experiment with a Multilevel Logistic Regression using PyMC3​

Note: In this post, I assume some familiarity with PyMC. If you need to get up to speed in a hurry and you're familiar with linear regression, go here for a tutorial. Alternatively, you can read for the methodological intuition,... Continue Reading →

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