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.
Created by: Geoffrey Hubona, Ph.D.
Produced in 2021
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.
Quality Score
Overall Score : 80 / 100
Course Description
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.
Instructor Details
- 4.0 Rating
64 Reviews
Geoffrey Hubona, Ph.D.
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.
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