Skip to content
Write a review
UdemyData SciencePaid courseAll LevelsCertificate

Data Mining with R: Go from Beginner to Advanced! (Udemy.com)

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.

4.4
428 reviews

Created by: Geoffrey Hubona, Ph.D.

Last updated August 2020

icon
What you will learn

  • Use R software for data import and export, data exploration and visualization, and for data analysis tasks, including performing a comprehensive set of data mining operations.
  • Effectively use a number of popular, contemporary data mining methods and techniques in demand by industry including: (1) Decision, classification and regression trees (CART); (2) Random forests; (3) Linear and logistic regression; and (4) Various cluster analysis techniques.
  • Apply the dozens of included "hands-on" cases and examples using real data and R scripts to new and unique data analysis and data mining problems.

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.4 out of 5higher than 28% of them
  • Reviews428#253 of 462 by number of reviews
  • Length11.9 hourslonger than 62% of them
  • Last updatedAugust 2020earlier than 90% of them

icon
Course Description

This is a "hands-on" business analytics, or data analytics course teaching how to use the popular, no-cost R software to perform dozens of data mining tasks using real data and data mining cases. It teaches critical data analysis, data mining, and predictive analytics skills, including data exploration, data visualization, and data mining skills using one of the most popular business analytics software suites used in industry and government today. The course is structured as a series of dozens of demonstrations of how to perform classification and predictive data mining tasks, including building classification trees, building and training decision trees, using random forests, linear modeling, regression, generalized linear modeling, logistic regression, and many different cluster analysis techniques. The course also trains and instructs on "best practices" for using R software, teaching and demonstrating how to install R software and RStudio, the characteristics of the basic data types and structures in R, as well as how to input data into an R session from the keyboard, from user prompts, or by importing files stored on a computer's hard drive. All software, slides, data, and R scripts that are performed in the dozens of case-based demonstration video lessons are included in the course materials so students can "take them home" and apply them to their own unique data analysis and mining cases. There are also "hands-on" exercises to perform in each course section to reinforce the learning process. The target audience for the course includes undergraduate and graduate students seeking to acquire employable data analytics skills, as well as practicing predictive analytics professionals seeking to expand their repertoire of data analysis and data mining knowledge and capabilities.
Who this course is for:
Anyone who wants to learn more about performing data analysis using a variety of popular, contemporary data mining techniques.
Data Mining beginners and professionals who wish to enhance their data mining knowledge and skill levelsIndividuals seeking to gain more proficiency using the popular R and RStudio software suites.
Undergraduate students seeking to acquire in-demand analytics skills to enhance employment opportunities.
Graduate students seeking to acquire a wider repertoire of analytics skills for research data analysis tasks.
Read More All Levels All Levels product length iconTime: 11.9h

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Get the Udemy discount

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

placeholder

Dr. Geoffrey Hubona hasheld full-time tenure-track, andtenured, assistant andassociate professorfacultypositions at 4 major state universities in the United States since 1993. Currently, he is anassociate professor of MIS at Texas A&MInternational 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 facultypositions, he taughtdozens ofvarious 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, alsofrom USF; an MBA in Financefrom 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 educationalorganizations that teachresearch methods and quantitative analysis techniques. These research methods techniquesincludelinear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling.

Read More

icon
More courses by Geoffrey Hubona, Ph.D.

$64.99

$10.99

$54.99

All courses by Geoffrey Hubona, Ph.D.

icon
More Data Science courses

Free

Free

Free

Free

$124.99

Free

All Data Science courses

icon
Reviews

4.4

428 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Dean on 10/2/2020

The audio is ear piercing

By Dorian.H Mekni on 8/7/2020

very clear and well explained.

By Joan on 7/18/2020

Thanks yo Geoffrey, I have made great progress in learning this class. However, since I am a beginner in data mining and machine learning, there is a lot of knowledge that I have no idea theoretically. I hope more theory would be elaborated instead of assuming the learner is advanced in this knowledge.

By Muha Abdullah Al Pavel on 7/7/2020

yes, it is very good so far.

By Monu Survashe on 7/2/2020

Good course Dr Hubonna helped a lot with all the difficulties during the course, Thanks

By Raghavendra gupta on 5/25/2020

Nice Experience

By Amit Kumar Vajpai on 5/12/2020

Thanks, Dr. Hubuna...just to let you know you transformed my life. I am a student of yours from Georgia R school days.

By Pooja Dekhane on 5/5/2020

Very well explained in simple language.

By Kirill Konovalov on 1/20/2020

Info and methods of writing the code are updated. Too many explanations are done in answering students' questions, and 7 minutes is spent on the explanation of attached materials. Probably program is a bit outdated so far.

By Shivangi Kumar on 11/24/2019

great

By Shambhavi Singh on 8/17/2019

Good quality

By M Sankar Achari on 8/12/2019

This course is good to learn about different statistical models.

Showing 12 of 64 reviews

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 88 / 100

Data Mining with R: Go from Beginner to Advanced!
Visit course on Udemy Write a review
  • Video Duration: icon 11.9h
  • Price: $74.99
  • Provider: icon Udemy
  • Updated: icon August 2020
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
30-day money-back guarantee on most paid courses

Udemy Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com