Number of Videos:2 hours – 25 lessonsUser Level:IntermediateThis 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
Number of Videos:2 hours – 25 lessons
User Level:Intermediate
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 toolGain a practical hands-on understanding of the core methods used in data analyticsExplore correlational methods, affinity analysis methods, and predictive methodsDiscover which analytical method works best for a specific type of dataLearn how to apply a selected method to build a model in RapidMiner and interpret its resultsProfessor 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.
PC Minimum System Requirements:PC Recommended System Requirements:Processor: AnyRAM: AnyHard Disk: 1GBVideo Card: AnySupported OS: Windows 10, Windows 8, Windows 8.1, Windows 7, Windows Vista, Windows XP, Windows 2000, Windows
