Data Mining in the Real World

Cincinnati, Ohio
Thursday, November 21, 2013
Data Mining in the Real World
Thursday, November 21, 2013 8:00 AM -
Friday, November 22, 2013 4:30 PM (Eastern Time)

Kingsgate Marriott at University of Cincinnati
151 Goodman Drive
Cincinnati, Ohio 45219
United States

Map and Directions
Two-day short course offered through the Center for Business Analytics at the University of Cincinnati.

Dates: Thursday, November 21 and Friday, November 22
8:00AM - 4:30PM

Course Description: Most organizations do not suffer from a lack of data, but from a lack of information. Powerful techniques now exist to take messy data sets and generate surprising insights. Textbooks and websites tout the power of data mining, but few sources actually discuss the difficulties and challenges that must be overcome in the real world. This two-day workshop will focus on the challenges of building predictive models in the real world and techniques experienced practitioners apply when developing their models. Topics covered will include common challenges in real world data, choosing the best model, and communicating effectively with management.  Attendees will learn through interactive discussion, case studies and hands on assignments.  R will be used in the classroom, but the instructor will provide equivalent SAS and SPSS programs.  Material will be accessible to novice practitioners, but some experience with common predictive models and one or more analytics software packages will be helpful.

Instructor Bio: The course will be taught by Kristofer Still, co-founder of the Data Science Group, and Data Scientist and Manager of Analytics at Unifund. Mr. Still was Unifund's first full-time analytics professional and has played a pivotal role in developing and maintaining Unifund's suite of predictive models.  He also dedicates his time to mentoring new talent and extending Unifund's internal analytics capabilities.  Mr. Still holds a B.S. in Finance from Miami University, and he is currently completing the requirements for his MS-Business Analytics degree at the University of Cincinnati, where he was named the 2013 Business Analytics Student of the Year.
 

Contact Information

  • Professor Mike Fry, Assistant Director, Center for Business Analytics
    Phone: (513) 556-0404

Payment Instructions

  • Course Registration Fee: $595

    Registration includes two full days of instruction, demonstration software downloads, meals, snacks and parking during the course.

    A group discount of $100 per registrant is available if 5 or more people are registered at the same time for this class.

    Payment can be made using credit card by clicking on the Register Now button.
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