Department News

GVSU Data Analytics Workshop

April 04, 2015

Purpose of the Workshop

The world of "big data" is dramatically impacting the way researchers explore systems and examine hypotheses. The amount of data (or information) in our world has been exploding, and analyzing these large data sets will become even more critical. Every sector of the economy will have to grapple with the implications of big data.

Data analysis is the process of finding the right data to answer your question, understanding the processes underlying the data, discovering the important patterns in the data, and then communicating your results. The purpose of this workshop is to provide a brief overview of how to organize data and perform some of the most widely-used statistical methods using the R statistical programming language.

This workshop will be a hands-on guided exploration, and the participants will have the opportunity to reinforce the material discussed by performing analysis in R. This workshop will not assume that participants have prior experience with R.

Overall Structure of the Workshop:

  • Before lunch – Session 1: Getting Started Analyzing Data in R
    • Introduction to R, R Studio and Data Structure
    • Basic Statistical Methods
    • Data Cleaning and Manipulation
  • After Lunch – Session 2: Predictive Modeling and Visualization in R
    • Predictive Modeling
    • More Advanced Visualization

 When and Where:

  • April 4:
    • Session 1: 9:00 am – noon
      • Mary Idema Pew Library, Computer Lab 001 
    • Complimentary Lunch: noon – 1:00 p.m.
      • Mary Idema Pew Library, Multi-Purpose Room
    • Session 2: 1:00 p.m. – 3:30 p.m.
      • Mary Idema Pew Library, Computer Lab 001

In addition to the complimentary lunch, we plan to take a break mid-morning and mid-afternoon.

 Facilitators: John Gabrosek, Laura Kapitula, Paul Stephenson and David Zeitler

Registration: Contact Cheryl Smalley at [email protected] if you have interest in securing a spot for the Data Analytics Workshop on April 4.

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Page last modified April 4, 2015