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Regress to Impress

Fear, loathing, Data Science

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danielsaber

Partner-Driven A/B Testing at Coursera

I recently attended the Data Science Innovation in eLearning Conference (hosted by Udemy and Zoomi), where I gave a lightning talk on the way we're scaling up A/B testing at Coursera by empowering our university partners to run their own experiments. Check... 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 →

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 →

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I do not have the words to express what I’ve been feeling these last couple of days. Although I want to believe there’s some perfect paragraph that can puncture filter bubbles — that can unimpeachably convey the inhumanity of separating... 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 →

Using Data to Hold Crappy Businesses Accountable (Airline Edition)

Contextualizing My Vendetta I've been on a streak of bad flights lately. The last two, in particular, were horrible -- and not horrible in the standard "cramped seats/rubbery food/my-God-that-smell" way. Horrible due to (A) an unexplained cancellation, which turned my 12-hour... Continue Reading →

The Digital Age is Killing the Middle Class: Reconsidering Jaron Lanier’s 2013 Argument in Light of 2016 Election Nonsense

I. I recently wandered down a Google Black Hole on The Skills Gap, hoping to see if economists had come to a consensus on whether it was a real thing or Convenient-sounding Story. While there, I found an interview that... Continue Reading →

Ford Purgatory: Busted Transmissions and Short-Term Thinking

I. Upon completing college, I joined the Treasury Department. (No, I didn’t.) But I did help them bolster the once-proud, then-crumbling pillars of the American Economy: too-big-to-fail banks and car companies. Concretely, I bought a Ford Focus. I’d read Consumer... Continue Reading →

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