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Doing Data Science in R

Time: 10:30 - 11:15
Day: Friday April 11
Location: ENB 109


Why learn R? Fast Company has an excellent article on the rise of R in science and data analytics.

This session is a continuation of "Getting StaRted in R", or for users with at least a little experience using R.

We're going to tackle a fun analytics problem: predicting the fate of voyagers aboard the infamous RMS Titanic. It's a fun data set with well-defined variables and a wealth of online resources to help you if you decide to explore more when the session is over.

We'll discuss
  • Loading and exploring data in R
  • Plotting and visualizing data
  • Preparing data
  • Building predictive models
  • Testing and applying models
Later in the day, in the session called Reporting Reproducible Research with R and Markdown, we'll continue the discussion and talk about how to report statistics and model results using R and Markdown.

What do you need?

Bring your laptop if you want to follow along. A link will be posted with the example code that we will use in the session.

To follow along, you'll need to have the following software installed:


Garrick Aden-Buie is a doctoral student in the Department of Industrial and Management Systems Engineering at the University of South Florida. His interests include dynamic systems, optimization and writing pretty code in R and Julia. He received his B.S. in Applied Mathematics and B.A. in Spanish from Lehigh University, and is a Returned Peace Corps Volunteer.

Catch up with his latest projects and thoughts at garrickadenbuie.com or on Twitter at @grrrck.
Garrick Aden-Buie,
Apr 12, 2014, 9:40 AM
Garrick Aden-Buie,
Apr 12, 2014, 9:41 AM
Garrick Aden-Buie,
Apr 12, 2014, 9:44 AM
Garrick Aden-Buie,
Apr 11, 2014, 12:37 AM