Monthly Archives: December 2012

Joe Blitzstein's free online stat course helps put a critical satellite in orbit

As loyal readers know, we are very enthusiastic about MOOCs. One of the main reasons for this is the potential of teaching Statistics to students from all over the world, in particular those that can't afford or don't have acces to college. However, it … Continue reading

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Sunday data/statistics link roundup (12/9/12)

Some interesting data/data visualizations about working conditions in the apparel industry. Here is the full report. Whenever I see reports like this, I wish the raw data were more clearly linked. I want to be able to get in, play … Continue reading

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"Dropping the Stick" in Data Analysis

When I was a kid growing up in rough-and-tumble suburban New York, one of the major summer activities was roller hockey, the kind with roller blades (remember roller blades?). My friends and I would be playing in some random parking … Continue reading

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Email is a to-do list made by other people - can someone make it more efficient?!

This is a follow-up to one of our most popular posts: getting email responses from busy people. This post had been in the drafts for a few weeks, then this morning I saw this quote in our Twitter feed: Your … Continue reading

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Advice for students on the academic job market (2013 edition)

Job hunting season is upon us. Those on the job market should be sending in applications already. Here I provide links to some of the related posts we published last year. Advice for stats students on the academic job market Another … Continue reading

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Data analysis acquisition "worst deal ever"?

A little over a year ago I mentioned that data analysis companies were getting gobbled up by larger technology companies. In particular, HP bought Autonomy, a British data analysis company, for about $11 billion. (By the way, can anyone tell … Continue reading

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Sunday data/statistics link roundup (12/2/12)

An interview with Anthony Goldbloom, CEO of Kaggle. I'm not sure I'd agree with the characterization that all data scientists are: creative, curious, and competitive and certainly those characteristics aren't unique to data scientists. And I didn't know this: "We … Continue reading

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