Beginning Data Analytics with RapidMiner

by Matthew North

Released September 2016

Publisher(s): Infinite Skills

ISBN: 9781491969137

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Video Description

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.

Introduction
1. Welcome To The Course 00:01:59
2. About The Author 00:01:15
Preparation
1. Setting Up The RapidMiner Environment 00:05:00
2. RM 7.2 Downsampling Explanation 00:01:17
3. Data Sets 00:09:22
4. Now You Try 00:01:55
Modeling Techniques: Correlational Methods
1. Correlation 00:08:21
2. K-Means Clustering 00:07:44
3. K-Nearest Neighbors 00:06:55
4. Now You Try 00:03:21
Modeling Techniques: Affinity Analysis
1. Association Rules 00:05:00
2. Naive Bayes 00:04:49
3. Discriminant Analysis 00:02:52
4. Now You Try 00:05:13
Modeling Techniques: Prediction
1. Linear Regression 00:03:50
2. Logistic Regression 00:05:46
3. Decision Trees 00:04:35
4. Neural Networks 00:05:18
5. Now You Try 00:07:41
Unstructured Data
1. Text Analysis 00:07:59
2. Now You Try 00:03:32
Evaluation And Deployment
1. Cross-Validation 00:04:55
2. A Note About Ethics 00:03:10
Conclusion
1. Wrap Up And Thank You 00:03:14

Product Information

Title: Beginning Data Analytics with RapidMiner
Author(s): Matthew North
Release date: September 2016
Publisher(s): Infinite Skills
ISBN: 9781491969137

Beginning Data Analytics with RapidMiner

Video Description

Table of Contents

Product Information