Chevron Left
Вернуться к Программирование на языке R

Программирование на языке R, Университет Джонса Хопкинса

Оценки: 13,828
Рецензии: 2,850

Об этом курсе

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples....

Лучшие рецензии

автор: EJ

Jul 12, 2016

Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!

автор: WH

Feb 03, 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!

Фильтр по:

Рецензии: 2,742

автор: Aniruddha Sanjay Humane

Apr 19, 2019

Good overview of R.

автор: Laknath

Apr 17, 2019

I would be cautious to recommend this course to a complete beginner. I had been using R for about 6 months before starting this course and found the content challenging. For instance, topics like lexical scoping covered in this course are usually tackled in a more Advanced R course. For a complete beginner into R, I would recommend a book like "R in Action" by Robert Kabacoff or the course on Udemy by Jose Portilla.

However, if you have had some exposure to R and would like it to take it to the next level, this is an excellent course. It will force you to learn things on your own. Read the documentation of R functions, peruse through stack overflow and really step up your game.

автор: Alexander Lau

Apr 16, 2019


автор: Sangeeta Roy

Apr 15, 2019

The course can be little more better for folks who are non programmers to begin with. This is an advanced course for a beginner/non programmer, hence would recommend to have a beginner course for non programmers/ R and then this course should be offered.


Apr 14, 2019

The gap between assignments and course content/exercise is too big. Assignments are very difficult to complete without programming knowledge.

автор: Edgar Noel Alzolay Crespo

Apr 14, 2019


автор: Abhinav Singh

Apr 13, 2019

nice course!! gives the basic understanding of R.

автор: Parth Parkhani

Apr 12, 2019

The difficulty curve was too high

автор: Yama Enahoro Osikpemi

Apr 12, 2019


автор: Max

Apr 10, 2019

Genial para introducirse en R