jhu data science moocs - behind the scenes
If you can't read please download the document
TRANSCRIPT
1. @simplystats 2. Tophat2 derfinder (HMMs) + 3. Tophat2 derfinder (bumphunter) + 4. Rail-RNA (cloud computing) derfinder (bumphunter) + 5. 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 6. Wouldnt it be amazing if we got 2,000 people to learn statistics! -Jeff Leek 7/17/12 7. date: 7/19/12 from: [email protected] 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? 8. date: 7/19/12 from: [email protected] 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.) 9. date: 7/19/12 from: [email protected] are f**ed. -roger 10. 7/2012 Official JHU + Coursera announcement 9/2012 Brian/Roger run classes 1/2013 Jeff runs data analysis 11. A MOOC is Videos 12. A MOOC is Quizzes 13. A MOOC is Forums 14. A MOOC is Peer grading 15. 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) . 16. Leek & Peng 2015 PNAS 17. Experiment 1 18. Fisher et al. 2014 PeerJ n=2,048 19. Fisher et al. 2014 PeerJ 20. Fisher et al. 2014 PeerJ 21. Experiment 2 22. 69% vs 40% n=1,985 23. Mathematical Biostatistics Bootcamp Computing for Data Analysis Data Analysis ~15K enrolled ~50K enrolled ~100K enrolled Understanding scale 24. 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 25. 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 26. 7/2012 Official JHU + Coursera announcement 9/2012 Brian/Roger run classes 1/2013 Jeff runs data analysis 11/2013 Daphne Koller visits 27. 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 28. This is false 29. Failure is not an option 30. 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! 31. 9 classes 1 month long Every month 32. Less standard content Standard content Github Data cleaning Interactive graphics Presentations Capstone Probability Inference Regression and GLMs EDA 33. 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 34. (1/n) reasons: speed 35. Should we teach the Lasso? 36. No 37. (2/n) reasons: infrastructure 38. Less standard content Standard content Github Data cleaning Interactive graphics Presentations Capstone Probability Inference Regression and GLMs EDA 39. swirl + Coursera 40. Want to do a capstone? 41. Ok guy I just met 42. LinkedIn Certification 43. This is not a degree! Portfolio based Open content Johns Hopkins backing Alumni social network 44. Enrollment 45. Sigtrack 46. Completion percentage 47. Sigtrack completion 48. 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 49. Cost comparison 50. Revenue for 2014 (Q2Q4): $1.75M Revenue to Biostatistics: $1.24M Resources reqd to date: 0.5 staff Low overhead: No admissions process, no student supervision, no administrative support Student population: Orthogonal? 51. Why I think we were successful 52. http://www.provost.umd.edu/announcements/ new_coursera_mooc.cfm 53. @jtleek jtleek.com/talks