Data Mining For Dummies

Learn to: Understand key data mining concepts and best practices Create a data model and test its validity Interpret results and communicate your findings Make a business case for investing in data mining Delve into your data for the key to success This friendly guide shows you why it doesnt take a data scientist to reap the benefits of exploring data independently, making informative discoveries, and putting the information to work. Written for those who know more about their business than math, this resource quickly gets you up–to–speed on how data mining can push your company to the top. Learn the laws of data mining get a grip on the principles of data mining, find out how to make data your informant, and set your data mining goals A day in the life of a data miner get to know the members of a typical data mining team, leverage your colleagues complementary skills and knowledge, and frame your work with a standard industry practice Define and refine establish a framework for data mining, drill into the CRISP–DM process, and establish good habits Make a career in modeling discover why modeling is the data miners path to knowing the unknown Dig into your data draw on the knowledge that you and other members of your team have accumulated from experience and training to extract useful information from data Open the book and find: Common–sense steps for data mining success Guidance on letting your business needs direct your software selection process Ways to unearth data you already have How to conduct experimentsno lab coat required Public sources for data Guidance on buying data and searching for suppliers Plain–English explanations of correlation The most common nonlinear models

Meta S. Brown helps organizations use practical data analysis to solve everyday business problems. A hands–on data miner who has tackled projects with up to $900 million at stake, she is a recognized expert in cutting–edge business analytics.