Tag Archives: coursera

My Online Course Development Workflow

One of the nice things about developing 9 new courses for the JHU Data Science Specialization in a short period of time is that you get to learn all kinds of cool and interesting tools. One of the ways that we … Continue reading

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Podcast #6: Data Analysis MOOC Post-mortem

Jeff and I talk about Jeff's recently completed MOOC on Data Analysis.

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The landscape of data analysis

I have been getting some questions via email, LinkedIn, and Twitter about the content of the Data Analysis class I will be teaching for Coursera. Data Analysis and Data Science mean different things to different people. So I made a … Continue reading

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Podcast #5: Coursera Debrief

Jeff and I talk with Brian Caffo about teaching MOOCs on Coursera.

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Statistics project ideas for students (part 2)

A little while ago I wrote a post on statistics projects ideas for students. In honor of the first Simply Statistics Coursera offering, Computing for Data Analysis, here is a new list of student projects for folks excited about trying … Continue reading

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Sunday Data/Statistics Link Roundup (9/9/12)

Not necessarily statistics related, but pretty appropriate now that the school year is starting. Here is a little introduction to “how to google” (via Andrew J.). Being able to “just google it” and find answers for oneself without having to resort … Continue reading

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Why we are teaching massive open online courses (MOOCs) in R/statistics for Coursera

Editor’s Note: This post written by Roger Peng and Jeff Leek.  A couple of weeks ago, we announced that we would be teaching free courses in Computing for Data Analysis and Data Analysis on the Coursera platform. At the same … Continue reading

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Online education: many academics are missing the point

Many academics are complaining about online education and warning us about how it can lead to a lower quality product. For example, the New York Times recently published this op-ed piece wondering if “online education [will] ever be education of the … Continue reading

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Sunday Data/Statistics Link Roundup (7/22/12)

This paper is the paper describing how Uri Simonsohn identified academic misconduct using statistical analyses. This approach has received a huge amount of press in the scientific literature. The basic approach is that he calculates the standard deviations of mean/standard deviation … Continue reading

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