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The Largest Data Science Program in the World: The Johns Hopkins Data Science Specialization

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Talk given at the IDIES symposium: http://idies.jhu.edu/news/watch-the-idies-symposium-live at Johns Hopkins

Published in: Data & Analytics
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The Largest Data Science Program in the World: The Johns Hopkins Data Science Specialization

  1. 1. The world’s largest Data Science Program The Johns Hopkins Data Science Specialization
  2. 2. Research Blogging Teaching
  3. 3. Research Blogging Teaching jtleek.com
  4. 4. Research Blogging Teaching simplystatistics.org
  5. 5. Research Blogging Teaching jhudatascience.org
  6. 6. 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?”
  7. 7. 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.)
  8. 8. from: rdpeng@gmail.com You are f**ed. -roger
  9. 9. A MOOC is Videos
  10. 10. A MOOC is Quizzes
  11. 11. A MOOC is Forums
  12. 12. A MOOC is Peer grading
  13. 13. Enrollment Time
  14. 14. Enrollment Time
  15. 15. Enrollment Time
  16. 16. 6503 Data analysis completers 6761* M.S. in Statistics * h%p://community.amstat.org/blogs/steve-­‐pierson/2014/02/09/largest-­‐graduate-­‐programs-­‐in-­‐staAsAcs
  17. 17. Data Science Specialization
  18. 18. 9 classes 1 month long Every month
  19. 19. Less standard content Standard content Github Data cleaning Interactive graphics Presentations Capstone Probability Inference Regression and GLMs EDA
  20. 20. The Team
  21. 21. Enrollment Time
  22. 22. Enrollment Time
  23. 23. Enrollment Time
  24. 24. Enrollment Time
  25. 25. Enrollment Time
  26. 26. Enrollment Time
  27. 27. 1,000,000+ Enrolled
  28. 28. We are just getting started
  29. 29. Salzberg Hansen Pertea Lindquist Crainiceanu Bakker Miller Jager McGready Taylor Langmead BD2K MOOCs Coming Soon

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