This course is designed for the person who is new to the science of data analytics, who has completed at least one college-level math class, and is comfortable with basic statistics. The course explains the core methods used in data analytics and how to apply those methods in conjunction with RapidMiner, a free and easy-to-use (no programming knowledge required) data analytics platform.
You'll first learn about the features of RapidMiner, configuring it, and how to connect to a variety of data sets, and then move into a detailed survey of the analytical methods incorporated within the software. Topics covered include correlation, association rules, k-means clustering, k-nearest neighbors, discriminant analysis, Naive Bayes, linear and logistic regression, neural networks, decision trees, and text analysis.
Learn how to use RapidMiner as a data analytics tool
Gain a practical hands-on understanding of the core methods used in data analytics
Explore correlational methods, affinity analysis methods, and predictive methods
Discover which analytical method works best for a specific type of data
Learn how to apply a selected method to build a model in RapidMiner and interpret its results
Professor Matt North teaches data analytics and data mining at Utah Valley University. He is a Fulbright alumnus, a recipient of a Gamma Sigma Alpha Outstanding Professor Award, and the author of the book "Data Mining for the Masses". He holds a Doctor of Education degree from West Virginia University and a Master of Science from Utah State University.
Dr. Matthew North is a professor of Information Systems at Utah Valley University with expertise in analytics and database systems. He has previously worked as a software engineer and risk analyst at eBay, creating automated fraud detection and prevention programs using predictive modeling for risk categorization. He has also worked as a consultant to private enterprises, non-profits and government organizations, and lectured at universities in Europe, South America, Asia and the United States.Dr. North is the author of two books, including Data Mining for the Masses (now in the second edition), and numerous professional, academic and popular publications. In addition to teaching with RapidMiner, his work has included the use of R, SAS and Weka. He completed a Fulbright appointment, lecturing in data mining and analytics for fraud prevention at Universidad Tecnológica Nacional in Santa Fe, Argentina.