Freshman Scholars Program 2014

Interrogating Data Through Graphical Summary and Statistical Modeling


Instructor:  Dan Bowman, Ph.D.


Project Description:

Students interested in finding quantitative answers to the questions raised by the world around them.  They should be comfortable with interacting with a computer by typing commands at a prompt rather than clicking on options from pull-down menus. A strong background in high school math and science is preferred, but more importantly, applicants should have a strong interest in math and science.

Data Science, Statistics, Machine Learning, Business Analytics all come down to learning about the world from data.  This is a hands-on instruction to the art and science of data analysis.  Scholars will be introduced to basic techniques of exploratory data analysis and to standard statistical models used for data summary, statistical inference, and prediction.  In tandem with this, Scholars will be introduced to the powerful R Language and Environment for Statistical Computing which will do all of the hard work of making graphs and fitting statistical models for us.

Dan Bowman

Dan Bowman, Ph.D.

Dr. Dan Bowman is Associate Professor of Physics at Ferrum College. He has Bachelors of Science degrees in Physics and Mathematics from the University of Akron and a PhD in Mathematical Physics from Indiana University. His research interests are diverse, but are all aimed at contributing in some small way to humanity's attainment of a quantitative understanding of the universe and everything in it.


If you have specific questions about this project, please contact Dr. Bowman directly at Dbowman@ferrum.edu.

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