Geoffrey Hubona, Ph.D.
The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general–purpose application development in the R environment. The original first course (Sections 1–8) consists of approximately 12 hours of video content and provides extensive example–based instruction on details for programming R data structures. The original second course (Sections 9–14), an additional 12 hours of video content, provides a comprehensive overview on the most important conceptual topics for writing efficient programs to execute in the unique R environment. Participants in this comprehensive course may already be skilled programmers (in other languages) or they may be complete novices to R programming or to programming in general, but their common objective is to write R applications for diverse domains and purposes. No statistical knowledge is necessary. These two courses, combined into one course here on Udemy, together comprise a thorough introduction to using the R environment and language for general–purpose application development.
The Comprehensive Programming in R Course (Sections 1–8) presents an detailed, in–depth overview of the R programming environment and of the nature and programming implications of basic R objects in the form of vectors, matrices, dataframes and lists. The Comprehensive Programming in R Course (Sections 9–14) then applies this understanding of these basic R object structures to instruct with respect to programming the structures; performing mathematical modeling and simulations; the specifics of object–oriented programming in R; input and output; string manipulation; and performance enhancement for computation speed and to optimize computer memory resources.
Instructor Details
Courses : 9
Specification: The Comprehensive Programming in R Course
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14 reviews for The Comprehensive Programming in R Course
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| Price | $12.99 |
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| Provider | |
| Duration | 25 hours |
| Year | 2020 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
Joseph Migliaccio –
Course moves slowly with many repeats of the same information. It should be more direct and concise.
Jk Silver –
I like the tutors approach of teaching on a story line. It’s kind of smooth yet detailed.
Abhisek Nayak –
very details oriented and structured materials of vector and function.Like it very much. Thanks
Tony Meissner –
This is 6yo and needs updating to rectify incomplete explanations, mistakes and updated RStudio
Rodrigo Garcia –
Halfway through and still pretty good. It is explained with great detail, although it could use some more real life examples
Stephen D Chapman –
So far so good.
Aaron Smith –
This was the introductory information I needed to get started
Joaqu n Aldabe –
Si
Learner Fast –
Professor Hubona is a great teacher. Love to learn from him anytime.
Damla Cinoglu –
I wanted more exercises on how to write functions and for loops!
Karin Sandoval –
has a lot of good information and helpful tips for R programming
Michael Lauret –
Still working my way through the course material. Professor Hubona is an excellent teacher though.
Fabian Scheidt –
A good introduction to the real programming aspects of the R language. This course even teaches programming classes, which is very rarely found in other R courses, but important. Sometimes, the course feels a bit boring and a little bit redundant at some points, but the overall gain of the course is great and fulfills the desire to get into the programming of R and not just calling library functions to data frames. Based on this introduction a deeper dive into programming R is possible.
Mirian Carrillo –
I really like it. I don’t know anything about R and for me is very nice that the instructor is explaining everything.