Coupon & course info
Course Name: PLS Path Modeling with the Desktop PLS-GUI Application
Subtitle: How to conduct PLS path modeling using a desktop application created with R software
Instructor: Taught by Geoffrey Hubona, Ph.D., Professor of Information Systems
Subcategory: Math & Science
Provided by: Udemy
Price: $30 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of October 3, 2016…
Students: 193 students enrolled
Ratings: 2 reviews
Rank: ranked #97e in Udemy Academics Courses
Brief course description
PLS Path Modeling with the Desktop PLS-GUI Application is a course that both teaches about the practice of variance-based structural equation modeling (SEM), sometimes referred to as PLS Path Modeling, and is a course that provides a beta application, the desktop PLS-GUI, to do so. The PLS-GUI application was developed using the visual RGtk2 programming language in R software. RGtk2 is the R-based GUI language extension derived from the public GTK+ (GIMP Tool Kit) language.
The PLS-GUI desktop application was jointly developed by Dr. Geoffrey Hubona and Dean Lim, both of whom are co-instructors of this course.
Course participants are encouraged to use the included PLS-GUI desktop application with their own data and PLS model files. Please note that this was a beta version application which is no longer directly supported by our staff. So, while we are limited in our ability to provide fixes or solutions to use-related issues which may arise installing or using the application, we are happy to answer any and all questions relevant to the course content per se.
(Read more about this course on the official course page.)
Geoffrey Hubona, Ph.D. bio
Dr. Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. In these 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 (1993); an MA in Economics (1990), also from USF; an MBA in Finance (1979) from George Mason University in Fairfax, VA; and a BA in Psychology (1972) from the University of Virginia in Charlottesville, VA. He was a full-time assistant professor at the University of Maryland Baltimore County (1993-1996) in Catonsville, MD; a tenured associate professor in the department of Information Systems in the Business College at Virginia Commonwealth University (1996-2001) in Richmond, VA; and an associate professor in the CIS department of the Robinson College of Business at Georgia State University (2001-2010). 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. Dr. Hubona is an expert of the analytical, open-source R software suite and of various PLS path modeling software packages, including SmartPLS. He has published dozens of research articles that explain and use these techniques for the analysis of data, and, with software co-development partner Dean Lim, has created a popular cloud-based PLS software application, PLS-GUI.; I am an avid user and statistical programmer of all things related to SEM especially the newer Partial Least Squares SEM. I believe PLS-SEM will be the future of big data as related to marketing. I am also a data analyst and CMRP marketing researcher.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 63 lessons
Duration: 4.5 hours of video
What you get: This course teaches students about PLS path modeling, including multi-group analysis and prediction-oriented segmentation.
Target audience: Anyone involved with PLS path modeling will benefit from this course, whether they are a novice or more experienced PLS path modeler.
Requirements: Students will need to install R and the desktop PLS-GUI application with the provided instructions.
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons