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Data Analytics and Mining for Business (Section 01)

Course number : GSB S530   
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Exploration of the concepts, tools and techniques of data mining in the business context, using case study and problem-solving approaches. Topics include multidimensional data modeling, predictive analytics, pattern discovery, forecasting, text mining, and data visualization. 4 lectures. Prerequisite: GSA 555 or GSB 520.

Class Details

22 Sessions
Weekly - Mon, Wed

Location
Cal Poly Business Bldg. 3

Instructor
Leida Chen 

 

Notice

Please read:  1) Create a profile at calpoly.augusoft.net. 2) Contact Extended Education at (805) 756-2053 to submit a class enrollment request. Office hours are M-F, 8 a.m. – 5 p.m. 3) Once enrollment is fully processed, a confirmation email will be sent from extended@calpoly.edu that will include payment instructions. 4) Pay your fees through your Cal Poly portal. Charges are due within 3 days from when they are posted. Cal Poly may require a parking permit. See the link for more information: https://afd.calpoly.edu/parking. calpoly.augusoft.net. 2) Contact Extended Education at (805) 756-2053 to submit a class enrollment request. Office hours are M-F, 8 a.m. – 5 p.m. 3) Once enrollment is fully processed, a confirmation email will be sent from extended@calpoly.edu that will include payment instructions. 4) Pay your fees through your Cal Poly portal. Charges are due within 3 days from when they are posted. Cal Poly may require a parking permit. See the link for more information: https://afd.calpoly.edu/parking."/>

Tuition: 

$2,720.00


Call 805-756-2053 to register Send to Friend »

Schedule Information

Date(s) Class Days Times Location Instructor(s) Instructional Method
1/6/2020 - 3/18/2020 Weekly - Mon, Wed 12:10 PM - 2:00 PM San Luis Obispo, Cal Poly Business Bldg. 3  Map, Room: 303 Leida Chen  Lecture

Other Class Offerings

Data Analytics and Mining for Business (Section 02)
ID: 24255

01/06/20 - 03/18/20
Weekly - Mon, Wed
22 sessions.