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Similaire à JHU Data Science MOOCs - Behind the Scenes
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JHU Data Science MOOCs - Behind the Scenes
- 12. @simplystats
- 17. 7/1/2012 (3:45PM) “Hopkins has a deal w/ Coursera" 7/1/2012 (5:00PM) Roger has bad timing 7/2/2012 Roger + Jeff sign on 7/5/2012 We make advertising videos 7/17/2012 Official JHU + Coursera announcement
- 19. Wouldn’t it be amazing if we got 2,000 people to learn statistics! “ ”-Jeff Leek 7/17/12
- 20. date: 7/19/12 from: jtleek@gmail.com Roger let me know you gave him a ballpark figure for the number of students registered for his course "Computing for Data Analysis”. Could you give me an idea of how many have registered for my course "Data Analysis?”
- 21. date: 7/19/12 from: pangwei@coursera.org Hi Jeff, 7,000 students! It's pretty awesome. (You'll be able to check this out yourself next week, once the class sites are up.)
- 22. date: 7/19/12 from: rdpeng@gmail.com You are f**ed. -roger
- 23. 7/2012 Official JHU + Coursera announcement 9/2012 Brian/Roger run classes 1/2013 Jeff runs “data analysis”
- 24. A MOOC is Videos
- 26. A MOOC is Forums
- 27. A MOOC is Peer grading
- 28. Formatting 1. Does the analysis have an introduction, analysis, and conclusions? (wt = 10) 2. Does the analysis include references for the statistical methods used? (wt = 2) …. The Question 1. Is the type of question specified (exploratory, inferential, predictive, causal)? (wt = 10) 2. Does the analysis answer the scientific question? (wt = 10) 3. Does the analysis report a measure of uncertainty about the answer? (wt = 10) …. …
- 29. Leek & Peng 2015 PNAS
- 30. Experiment 1
- 31. Fisher et al. 2014 PeerJ n=2,048
- 32. Fisher et al. 2014 PeerJ
- 33. Fisher et al. 2014 PeerJ
- 34. Experiment 2
- 38. Mathematical Biostatistics Bootcamp Computing for Data Analysis Data Analysis ~15K enrolled ~50K enrolled ~100K enrolled Understanding scale
- 39. 6503 Data analysis completers 6761* M.S. in Statistics * http://community.amstat.org/blogs/steve-pierson/2014/02/09/largest-graduate-programs-in-statistics Understanding scale
- 40. Understanding cost Laptop iPhone w/tripod mount Tripod Microphone (a good one) Camtasia (screen recording) Final Cut Pro X (video editing) Total Cost: $2,877
- 41. 7/2012 Official JHU + Coursera announcement 9/2012 Brian/Roger run classes 1/2013 Jeff runs “data analysis” 11/2013 Daphne Koller visits
- 42. 7/2012 Official JHU + Coursera announcement 9/2012 Brian/Roger run classes 1/2013 Jeff runs “data analysis” 11/2013 Daphne Koller visits We claim to have data science sequence
- 43. This is false
- 44. Failure is not an option
- 45. 1/2013 Jeff runs “data analysis” 11/2013 Daphne Koller visits We claim to have data science sequence 12/2013 We start making DSS 2/2014 We start testing DSS 4/2014 We launch!
- 46. 9 classes 1 month long Every month
- 47. Less standard content Standard content Github Data cleaning Interactive graphics Presentations Capstone Probability Inference Regression and GLMs EDA
- 50. Moore Data Science Environments 0/3 directors, 1/25 speakers statisticians NAS Big Data Workshop 2/13 speakers statisticians NIH BD2K Proposal Workshop 0/18 participants Big Data Rollout from White House 0/4 thought leaders in statistics
- 52. Should we teach the Lasso? “ ”
- 53. No“ ”
- 55. Less standard content Standard content Github Data cleaning Interactive graphics Presentations Capstone Probability Inference Regression and GLMs EDA
- 60. swirl + Coursera
- 63. Want to do a capstone? “ ”
- 64. Ok guy I just met“ ”
- 70. This is not a degree! Portfolio based Open content Johns Hopkins backing Alumni “social network”
- 71. Enrollment
- 72. Sigtrack
- 75. Total Time Running: 13 months Avg. Monthly Enrollment: 170,837 Avg. Monthly SigTrack: 12,486 (7.3%) Overall Completion Rate: 10% SigTrack Completion Rate: 85% First Capstone Enrollment: 663
- 76. Cost comparison
- 77. Revenue for 2014 (Q2—Q4): $1.75M Revenue to Biostatistics: $1.24M Resources req’d to date: 0.5 staff Low overhead: No admissions process, no student supervision, no administrative support Student population: Orthogonal?
- 81. Why I think we were successful