This course will introduce students to philosophy
and methods comprising exploratory data analysis
(EDA), or a grounded version of ``data mining.''
We will relate these methods
to analogous concepts in theoretical statistics,
emphasizing ``exploratory'' versus ``confirmatory'',
and students will learn and apply analysis tools on
real data and actual case studies.  At the end of
the course, you should be able to recognize
appropriate tools to use on various sets of data,
construct meaningful graphical displays, propose
and fit suitable ``models'' for data, prepare reports,
use R (statistics software package), and prepare
oral and written reports based on the data analysis.