718, IS Bldg.
Tel: 412-624-5144
prashk AT pitt DOT edu
This is the first course in Data Analytics for undergraduate IS students. The objective of the course is to give students a broad overview of the various aspects of data analytics such as exploring, scrubbing, modeling, and interpreting data. Towards this, the course employs R as the primary tool with some use of Weka, Excel and Matlab. This being a first course, there is no rigorous development of data mining schemes, statistics, or theoretical treatment of aspects such as visualization, but the students are expected to do programming in R and develop a clear understanding of basic data modeling and ideas related to statistics.
None. An interest in analytical thinking and in data and a first course in Statistics will be helpful.
Wolfgang Jank, Business Analytics for Managers, Springer 2011
Lectures will be drawn from several sources (textbook, other books, articles, papers, and videos)
If you are having a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and the Office of Disability Resources and Services (DRS), 216 William Pitt Union (412-648-7890/412-383-7355) as early as possible in the term. DRS will verify your disability and determine reasonable accommodations for this course.