Data Mining for the non statistician (Two-day seminar) Organizations are now able to learn amazing things about their customers and processes. Instantaneously determining if a client is a good credit risk, selecting what content to display on a web page, spotting fraud, optimization of complex bio-chemical formulations, and predicting which customer are likely to leave in the next three months are just some of the amazing things companies can accomplish with data mining techniques. With the advent of inexpensive computing capability and powerful software organizations can now collect massive amounts of operational and customer data. Collecting data is not a problem, but collecting the right data and then being able to extract latent information about relationships is a huge challenge.
Our approach is to be practical and hands-on. With each tool discussed, we link the tool to an overall data mining strategy, provide an easy-to-understand explanation of the tool, demonstrate with simple examples how the tool works, run low-cost software using the relevant example data, and show students keys to simple interpretation of the output.
In this two-day class, attendees will learn strategies for ensuring the right data is being collected, the steps for a successful data mining intervention, a number of graphical and mathematical techniques, how to interface and interpret key data mining software output, and how to best drive action planning for business success.
Numerous exercises and datasets will be evaluated with several popular software packages.
The following
is an outline of the various topics covered in this 2 day course:
Agenda
Goals, outcomes
Numerous case studies from a variety of industries
What is data mining?
What tasks can data mining accomplish?
What are the steps required for success?
What questions do you want to answer?
Recommended data collection formats
Fixing problems with data
Simple data transformations
Graphical analysis approaches
Classification and regression trees
Neural network applications
Market basket analysis
Survey of available software
Numerous examples using software
Fees:
$1600 includes the text Engineering Today's Designed Experiments,
student version of DOE Wisdom Software, and participant guide.
Lunch and coffee breaks are provided each day.
Register
Early - class sizes are limited for optimal interaction and
instruction.
