QTM 3612 - Data Mining & Competing Analytics

Institution:

Babson College

Subject:

Description:

4.00 credits QTM3612 Data Mining & Competing Analytics Formerly Applied Data Mining (Advanced Lib Arts) This course will examine the methods and challenges faced in competing on analytics in business. As databases become data warehouses, extracting meaningful information to successfully compete is essential. You will accomplish this by learning new techniques for data gathering and data analysis as well as in discussion with companies currently trying to turn the information in their databases into increased business opportunities. We will examine the changing data privacy landscape and learn a variety of new methodologies for finding patterns in large datasets as well as how to create data warehouses from internet data and legacy systems. Guest speakers will be executives and consultants in the field of competing analytics. We will discuss both the methodologies and software they are using as well as the ethical issues they face in using this data. Prerequisite: QTM2420 or QTM2421

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.babson.edu

Phone Number:

(781) 235-1200

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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