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Data Science Education at JHSPH

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jtleek

A talk about JHU Data Science Initiatives given at JSM 2014.

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Intro  slide   Data Science Education at
Teaching Blogging Research
Teaching Blogging Research jhudatascience.org
Teaching Blogging Research simplystatistics.org @simplystats
Teaching Blogging Research jtleek.com
    Teaching hands on data analysis
“Here is a monograph on GLMMs.”
+ - Github Data cleaning Machine learning Reproducibility Data Analysis Special cases Some asymptotics Some mathematical details
Your project is to quantify the level of collaborative and methodological work performed by the tenure-track faculty at the following departments: •  Johns Hopkins Biostatistics •  University of Washington Biostatistics •  University of Minnesota Biostatistics •  Stanford Statistics •  Iowa State Statistics •  University of Chicago Statistics
1st Discussion Point: To add data analysis you have to subtract something else.
How we get into MOOCs
every letter is negotiable, from Wikipedia citing Mathieu Plord
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?”  
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.)  
from: rdpeng@gmail.com You are f**ed. -roger  
A MOOC is Videos
A MOOC is Quizzes
A MOOC is Forums
A MOOC is Peer grading
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  
    Data Science Specialization
9 classes 1 month long Every month
Less standard content Standard content Github Data cleaning Interactive graphics Presentations Capstone Probability Inference Regression and GLMs EDA
The Team
Cumulative Enrollment
2nd Discussion Point: What opportunities are there at “medium scale”?
JHU DSS Collaborations Instant hands on data science Lectures Course materials Automated Grading Instructor Dashboards Virtual TAs
jtleek.com/talks 1.  Data analysis è ? in curriculum 2. Opportunities at medium scale

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