"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."--Resource description page.