data science education at jhsph

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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.”

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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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