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- Why not have a "future of the field" session at a conference with only young speakers?
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Tag Archives: coursera
Podcast #6: Data Analysis MOOC Post-mortem
Jeff and I talk about Jeff's recently completed MOOC on Data Analysis.
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
Podcast #5: Coursera Debrief
Jeff and I talk with Brian Caffo about teaching MOOCs on Coursera.
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
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
Posted in Uncategorized
Tagged coursera, education, encode, googleVis, knitr, markdown, salzberg, visualization
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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
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
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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Tagged coursera, data, data gravity, facebook, Rant, sunday links
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