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

4.5
22,350 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

AK

May 26, 2017

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

AB

Sep 6, 2017

Great course for people who work with data a lot. This course actually helps in looking at data in its basic forms, helps understand transformations better, and gives ideas about playing with it.

筛选依据:

3451 - R Programming 的 3475 个评论(共 4,751 个)

创建者 Matiukhina K

Jan 23, 2017

It would be nice to have more complicated assignments which push brain to work harder

创建者 blessing j o

Sep 8, 2022

it great to learning R, but i still need more improvement learning from this program

创建者 Saul M

Oct 29, 2020

The assignments are tough. I loved them. The practice assignments were quite useful.

创建者 Diego T

Jun 18, 2020

A bit old videos and version, however very useful in regards to processing data sets

创建者 Deleted A

Jun 7, 2018

Asignment's difficulty level is way higher than what is discussed during the lessons

创建者 Leonardo V S

Oct 30, 2016

great overview, but pretty challenging for those without any programming experience.

创建者 amandine

Jun 4, 2020

Very interesting but a very steep learning curve in a complex programming language.

创建者 SARTHAK A

May 9, 2020

writing functions should be taught and how to apply them should be taught properly.

创建者 Dushyant S

Apr 23, 2019

Its very essential for a data analyst or scientist to learn this powerful language.

创建者 冯溢濠

Apr 17, 2016

The professor expressed the concept really good and it is quite easy to understand.

创建者 Deleted A

Mar 23, 2016

Great overview. The Swirl exercises are wonderful for "teaching a person to fish".

创建者 sudhanshu p

Mar 22, 2019

swirl is very great to have hands on on R.

feel sleepy while watching course videos

创建者 王近斐

Aug 5, 2017

a little bit hard in the assignment part, need to move it smoothly to get that far

创建者 Sreeparna N

Mar 10, 2022

The course could have been more detailed. Its tough to understand as a beginner.

创建者 Jacob S

Jun 21, 2018

Good course, although assignment 2 basically had the solution in the description.

创建者 Erdem Y

Apr 28, 2017

Peer review doesnt make sense. I would appreciate if TA or Instructor reviews it.

创建者 Aditya A

Jun 18, 2016

Hands-on with the videos should be given, instead of cumulative long assignments.

创建者 Ceri M

Mar 23, 2016

Support material is decent but some more examples in video lectures would be good

创建者 Deleted A

Jul 7, 2020

A little tough on the assignments and swirl exercises but overall a good course.

创建者 Matthew G

May 1, 2020

An excellent course to get your feet wet, and start looking at R a little deeper

创建者 Rajat Y

Jan 31, 2019

Difficulty level of some assignments are beyond the purview of course materials.

创建者 B S

Nov 22, 2017

Good course to learn basics of R. It has a good mix between theory and practice.

创建者 Blair N

Sep 23, 2017

R is a harder language than I had thought. This course explores key areas well.

创建者 Kevin A R

Aug 4, 2017

Good material but a lot of time was required to complete the projects each week.

创建者 YUCHEN Z

Jul 6, 2017

if you're a new programmer, it would be frustrated to strat with this course. ..