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Beginning Data Analytics with RapidMiner [Online Code]
DESCRIPTION
Number of Videos:2 hours - 25 lessons
Ships on: DVD-ROM
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.
Mac Minimum System Requirements:Mac Recommended System Requirements:
Ships on: DVD-ROM
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 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
Mac Minimum System Requirements:Mac Recommended System Requirements:
- Processor: Any
- RAM: Any
- Hard Disk: 1GB
- Video Card: Any
- Supported OS: Mac El Capitan 10.11, Mac Yosemite 10.10, Mac Mavericks 10.9, Mac Mountain Lion 10.8, Mac Lion 10.7, Mac Snow Leopard 10.6, Mac Leopard 10.5, Mac OS X, Macintosh
- Learn Beginning Data Analytics with RapidMiner from a professional trainer on your own time at your own desk.
- This visual training method offers users increased retention and accelerated learning.
- Breaks even the most complex applications down into simplistic steps.
- Comes with Extensive Working Files