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R Programming, Johns Hopkins University

4.6
12,725 calificaciones
2,660 revisiones

Acerca de este Curso

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....

Principales revisiones

por 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!

por AK

May 27, 2017

This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox.\n\nThis is perhaps the best course on R Programming designed for a small duration.

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2,553 revisiones

por Arthur Coleman

Dec 11, 2018

See my survey comments. This was a good starting course, but there were some flaws in the way it presented lexical scoping and then data set issue with week 4 programming assignment that made thigns unnecessarily painful. Other than that, enjoyed and learned a lot.

por Gebremeskel Mamu Werid

Dec 10, 2018

interactive, easy to learn course!

por Chan Joo Kee

Dec 10, 2018

Too difficult and dry. Not for beginners.

por Agustin Alvarez

Dec 10, 2018

The course is generally well organised and planned. However, there's a huge gap between the knowledge explained through the videos and practices and the skill required to pass the programming assigment, specially in the assigment #1 of the week 1.

por Benjamin Li

Dec 06, 2018

Don't expect so much... Lexical scoping will probably not be used by the majority of data scientists but the course expects you to research it yourself entirely and spend hours on hours on it, when the focus could have been placed on somewhere else!

"Mentors" are quick to respond to dissatisfaction at the course with comebacks but when students ask for help regarding assignments they are nowhere to be seen.

Watch all the lectures, enrol for 7 day trial, submit assignment 2 and 4, and ignore the rest. Don't let them trick your money!!! (PS I was like you at the beginning, I thought of paying for the course, doing a good job and getting a certificate, but trust me, this course is not worth it.)

por HARSHIT BOHRA

Dec 05, 2018

Gets your basics straight! Good starting point

por Su Myat Moe

Dec 04, 2018

The assignments are harder than what's taught in the course. Perhaps the gap can be decreased which would make for a less frustrating experience. But all in all, it is very rewarding and a basic step towards learning more about R. Thanks so much to Professor Roger Peng!

por Amish Sheth

Dec 03, 2018

Not for beginner programmers.

por Esther Lopez

Dec 02, 2018

I bit disappointed with the video lectures. I opted for external resources instead.

por Wookjin Jang

Nov 30, 2018

This is a great way to learn R programming and covers really important stuff. However, the programming assignments weren't clear and requires more examples and details.