MSBX 5415 Data Analytics***

Dan Zhang, Leeds School of Business, University of Colorado at Boulder

Last offered in Fall 2015

This course introduces students to data analytics using the software package R. The IDE RStudio is used throughout the course. Recommended textbooks include
Students may also find the following books useful:
Topics covered in the course include
Students in the class learn to analyze read-world data. In addition to proprietary datasets from industry partners, students may also use datasets from public sources. The following is a list of public data sources:

http://archive.ics.uci.edu/ml

http://www.kdnuggets.com/datasets

http://www.kaggle.com/

http://data.gov

http://census.gov

http://www.bls.gov/

http://enigma.io

http://www.statcan.gc.ca

https://www.ipums.org/

https://snap.stanford.edu/data/index.html

http://grouplens.org/datasets/movielens/

https://www.aggdata.com/data

http://research.chicagobooth.edu/kilts/marketing-databases/dominicks

http://www.econ.yale.edu/~shiller/data.htm


***I would like to thank Adam Mersereau (UNC Chapel Hill Kenan Flagler Business School) and Ruxian Wang (John's Hopkins Carey Business School) for discussions related to this course and for syllabi of similar courses they offered.


This page was updated on February 21, 2015