Data Warehousing and Data Mining
Section 16224
- Note: The course will offer an overview of key concepts of big data and related digital technologies and provide hands-on experiences at introductory level so students from different backgrounds WITH NO PRIOR EXPERIENCE ON DATA AND TECHNOLOGIES would know how to work with big data in a real firm using state-of-the-art digital tools (Google Analytics, Tableau, Hadoop, Data Miner). The course will also prepare students for a range of data related jobs (marketing, finance, entrepreneurship, management).
- Session Dates (session code 001)
- First day of classes:
- Monday, August 22, 2016
- Last day to add:
- Friday, September 9, 2016
- Last day to drop without a mark of "W" and receive a refund:
- Friday, September 9, 2016
- Last day to withdraw without a “W” on transcript or change pass/no pass to letter grade:
- Friday, October 7, 2016
- Last day to drop with a mark of "W":
- Friday, November 11, 2016
- End of session:
- Wednesday, December 14, 2016