Data Mining with Rattle

Learn to use the GUI-based comprehensive Data Miner data mining software suite implemented as the rattle package in R

4.40 (91 reviews)
Udemy
platform
English
language
Data Science
category
Data Mining with Rattle
1,644
students
15 hours
content
Aug 2020
last update
$44.99
regular price

What you will learn

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.

Why take this course?

Data Mining with Rattle is a unique course that instructs with respect to both the concepts of data mining, as well as to the "hands-on" use of a popular, contemporary data mining software tool, "Data Miner," also known as the 'Rattle' package in R software. Rattle is a popular GUI-based software tool which 'fits on top of' R software. The course focuses on life-cycle issues, processes, and tasks related to supporting a 'cradle-to-grave' data mining project. These include: data exploration and visualization; testing data for random variable family characteristics and distributional assumptions; transforming data by scale or by data type; performing cluster analyses; creating, analyzing and interpreting association rules; and creating and evaluating predictive models that may utilize: regression; generalized linear modeling (GLMs); decision trees; recursive partitioning; random forests; boosting; and/or support vector machine (SVM) paradigms. It is both a conceptual and a practical course as it teaches and instructs about data mining, and provides ample demonstrations of conducting data mining tasks using the Rattle R package. The course is ideal for undergraduate students seeking to master additional 'in-demand' analytical job skills to offer a prospective employer. The course is also suitable for graduate students seeking to learn a variety of techniques useful to analyze research data. Finally, the course is useful for practicing quantitative analysis professionals who seek to acquire and master a wider set of useful job skills and knowledge. The course topics are scheduled in 10 distinct topics, each of which should be the focus of study for a course participant in a separate week per section topic.

Screenshots

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Reviews

Dean
June 16, 2019
Too many blurry slides. For a course entitled Data Mining with Rattle, most of the time was spent running R scripts. Useful information but made it feel like more of an R course than a Rattle course.
Rokas
January 18, 2019
I'm afraid that it might be a bit outdated (from 2012), but I might be wrong. Otherwise it seems like very good material.
Claudiu
December 27, 2018
This is the only Rattle online course out there (even on Graham Williams' website). As allways, prof. Hubona provides very good reading materials and code resources. Some aspects of Rattle remain unexplored and some additional information about ML algorithms seemed unnecessary for the scope of this course. Nevertheless, the course does its job well.
Lorne
January 31, 2018
Dr. Hubona is enthusiastic and it sounds like he will cover the information I need to know. I did not see how I can get access the files he discusses in the last minute of Video #2.
Robert
August 14, 2017
I have been looking into Rattle for a while and was delight Dr Hubona had such a course. I have taken a number of his Udemy courses before and they have been highly effective for me.
Roland
January 16, 2017
This course is very good at giving you a run-through of the Rattle application and for getting familiar with it, especially if you prefer a visual over a book. The negatives are that the instructor has a tendency to waffle, however, between this there are some real gems of information so it it worth pursuing!
Guy
December 6, 2016
its not a course. it's a series of very poorly prepared live webinars by a lecturer to some online students. the explanations are obfuscated, much of what's on screen seems to be met for the first time by the lecturer, he's hesitant, unsure, fidgety in the sense he's not completing threads of thought, and has a knack for making even the simple complicated. terrible. since this is the only Rattle course available here i'll probably stick it through, but it's the worst course i've seen on Udemy.
Pedro
November 18, 2016
Not enough focus on actually learning how to use Rattle, way too much emphasis on R coding language. Overall, disappointing this course is not a break from R code language.
Dimitrios
May 13, 2016
The course is well-structured, the knowledge provided is fundamentally useful in data mining, however, there is not much focus on interpreting the results. I believe that if this drawback is tackled, then this course would become a "must" for every data scientist out there!!! All in all, nice work and useful knowledge gathered and shared.
Anthony
March 9, 2016
Strong content. Responsive instructor. Only odd part is the lectures sometimes abruptly stop and pick up in the next lecture. Not a big deal, but unusual from what I have experienced before.
Aankur
January 28, 2016
The course was excellent, the ending was a bit abrupt but overall it was a great experience going through the course

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590962
udemy ID
8/23/2015
course created date
11/22/2019
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