Learn to use the GUI-based comprehensive Data Miner data mining software suite implemented as the rattle package in R
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Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Perform and support life-cycle data mining tasks and activities using the popular Data Miner ("Rattle") software suite.
Understand the functionalities implicit in the data, explore, test, transform, cluster, associate, model, evaluate, and log tabs in the Data Miner ("Rattle") GUI software platform.
Know how to explore, visualize, transform, and summarize data sets in Rattle.
Know how to create advanced, interactive Ggobi visualizations of data.
Know how to use, estimate and interpret: cluster analyses; association analyses mining rules; decision trees; random forests; boosting; and support vector machines using Rattle.
This comprehensive Data Mining with Rattle curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Data Mining with Rattle course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Geoffrey Hubona, Ph.D.
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Professional Course
Investment around $149.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
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