Interrogating Data Through Graphical Summary and Statistical Modeling
Instructor: Dan Bowman, Ph.D.
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, 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