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学生对 Johns Hopkins University 提供的 R Programming 的评价和反馈

4.5
22,339 个评分

课程概述

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....

热门审阅

MR

May 11, 2020

Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.

HH

May 11, 2020

before starting this course i have experience of R programming but this course gives me a lot of new function and how to build a function and a most useful function str,debugging and Rprof.Thank You!

筛选依据:

1026 - R Programming 的 1050 个评论(共 4,751 个)

创建者 Micael C

Aug 9, 2017

Liked very much the way the course is structured. I have learned a lot of new stuff. Thanks

创建者 Karthic C

Jul 11, 2017

Good intro into R programming. Looking forward to the rest of courses in the specialization

创建者 Hariharan D

Jun 27, 2017

Excellent course structure & pedagogy. This course covers all aspects for beginners of "R".

创建者 Kryštof C

Feb 6, 2017

Thank you! This course is excelent. It gave me a great overview, what all is possible in R.

创建者 Eric

Oct 22, 2016

Great practical exercises and content, I learned a ton! Really having fun with the classes.

创建者 Paula C

Aug 9, 2016

Excellent introduction to R. It helps to have prior experience with programming, I believe.

创建者 Akshay T

Apr 10, 2016

Very helpful course for people who have beginners and intermediate level of expertise in R.

创建者 MAURICIO B M

Oct 15, 2020

A useful and didactic course, it's a good introduction to develop skills like a programer.

创建者 Sergio J

Oct 10, 2020

I'v love much the use of swirl() library for learn the concepts. It's totally recommended!

创建者 Singh G J

Sep 16, 2020

GREAT COURSE! ISN'T VERY ELEMENTARY, SO THIS WILL EQUIP YOU ENOUGH TO LEARN FURTHER THINGS

创建者 floch_erwan

Sep 14, 2020

Very clear explanations, insightful videos, helpful assignments and quizzes. Thanks a lot.

创建者 Yang S

Nov 28, 2019

It is a quite useful lecture. Besides, this course provides many fine transalted captions.

创建者 Mario G

Nov 19, 2017

I really enjoyed taking this course. Both materials and assignments were a good balance :)

创建者 牧山

Apr 25, 2016

it is very useful for me ,but the only shortage is the lack of chinese sub-title.Thanks!!!

创建者 tandin t (

Dec 29, 2020

This course was awesome, and helped me to unleashed my potential to do programing with R.

创建者 Sarper Y

Nov 1, 2020

Swirl is very complementary and it'd better told as it is in the beginning of the course.

创建者 Luis A C M

Sep 9, 2020

Excellent course, the swirl methodology is excellent, and the instructors are very clear.

创建者 Deleted A

Jan 1, 2019

A great informative course ever provided by the Coursera to all of us. Thank you Coursera

创建者 Timothy D

Jul 27, 2018

There is a lot to be gained from this course if you take time to do the assignments well.

创建者 ROHIT K 1

Mar 10, 2018

I think for beginners, this course provides a great platform for learning R language....

创建者 Greg A

Feb 22, 2018

This is not an easy course, but it is an essential foundation for doing any analysis in R

创建者 lakshay w

Feb 17, 2018

It was a great course for those who wants to have a fundamental hold on the R programming

创建者 Derek W

Dec 6, 2017

Good quality course, I'm auditing it and all the activities are not locked behind paywall

创建者 Max D Q

Nov 8, 2017

This course is very good for anybody who has no background knowledge about R programming.

创建者 Yash B

Sep 27, 2016

Very informative and a good learning process. Assignments help in thorough understanding.