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Data Mining with Rattle

Learn to use the GUI-based comprehensive Data Miner data mining software suite implemented as the rattle package in R
4.1
4.1/5
(85 reviews)
1,597 students
Created by

9.0

CourseMarks Score®

9.2

Freshness

7.5

Feedback

9.6

Content

Platform: Udemy
Price: $11.99
Video: 14h 47m
Language: English
Next start: On Demand

Top Data Mining courses:

Detailed Analysis

CourseMarks Score®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.2 / 10
This course was last updated on 8/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.5 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.6 / 10
Video Score: 9.8 / 10
The course includes 14h 47m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 27 minutes of 26 Data Mining courses on Udemy.
Detail Score: 9.5 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
15 resources.
0 exercise.
0 test.

Table of contents

Description

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.

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.

Requirements

• Students will need to install the R console and RStudio software (instructions are provided).

This course is for

• Anyone interested in data mining seeking to master the use of a powerful popular contemporary (and no-cost) Data Mining software suite
• Data analytics professionals seeking to augment their data mining skill sets with a popular and useful data mining package.
• Undergraduate and graduate students seeking to attain in-demand data mining skills for data analysis/mining tasks to offer to prospective employers.

How much does the Data Mining with Rattle course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.
The average price is $12.2 of 26 Data Mining courses. So this course is 2% cheaper than the average Data Mining course on Udemy.

Does the Data Mining with Rattle course have a money back guarantee or refund policy?

YES, Data Mining with Rattle has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Data Mining with Rattle course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Geoffrey Hubona, Ph.D. a SCAM or a TRUSTED instructor?

Geoffrey Hubona, Ph.D. has created 27 courses that got 3,608 reviews which are generally positive. Geoffrey Hubona, Ph.D. has taught 54,301 students and received a 4.1 average review out of 3,608 reviews. Depending on the information available, Geoffrey Hubona, Ph.D. is a TRUSTED instructor.
Associate Professor of Information Systems
Dr. Geoffrey Hubona has held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 4 major state universities in the United States since 1993. Currently, he is an associate professor of MIS at Texas A&M International University where he teaches for-credit courses on Business Data Visualization (undergrad), Advanced Programming using R (graduate), and Data Mining and Business Analytics (graduate). In previous academic faculty positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master’s and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL; an MA in Economics, also from USF; an MBA in Finance from George Mason University in Fairfax, VA; and a BA in Psychology from the University of Virginia in Charlottesville, VA. He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling.

9.0

CourseMarks Score®

9.2

Freshness

7.5

Feedback

9.6

Content

Platform: Udemy
Price: $11.99
Video: 14h 47m
Language: English
Next start: On Demand

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