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Coupon & course info

Course Name: The Comprehensive Statistics and Data Science with R Course

Subtitle: Learn how to use R for data science tasks, all about R data structures, functions and visualizations, and statistics.

Instructor: Taught by Geoffrey Hubona, Ph.D., Professor of Information Systems

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $50 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of September 8, 2016…

Students: 518 students enrolled

Ratings: 19 reviews

Rank: ranked #157d in Udemy Business Courses

Brief course description

This course, The Comprehensive Statistics and Data Science with R Course, is mostly based on the authoritative documentation in the online “An Introduction to R” manual produced with each new R release by the Comprehensive R Archive Network (CRAN) development core team. These are the people who actually write, test, produce and release the R code to the general public by way of the CRAN mirrors. It is a rich and detailed 10-session course which covers much of the content in the contemporary 105-page CRAN manual. The ten sessions follow the outline in the An Introduction to R online manual and specifically instruct with respect to the following user topics:

1. Introduction to R; Inputting data into R

2. Simple manipulation of numbers and vectors

(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.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 219 lessons

Duration: 19.5 hours of video

What you get: Students will understand what R is, and how to input and output data files into their R sessions.

Target audience: This course will benefit anyone wishing to learn R and especially those who seek an in-depth “hands-on” tutorial on performing statistical analyses with R.

Requirements: Students must install R and RStudio (free software) but ample instructions are provided.

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