Chevron Left
返回到 The R Programming Environment

學生對 约翰霍普金斯大学 提供的 The R Programming Environment 的評價和反饋

4.4
807 個評分
212 個審閱

課程概述

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources....

熱門審閱

MV

Dec 26, 2018

Very Very Rigorous Course for a beginner on R language and because of its nature, after completing just one course, I feel like I have gained a lot of knowledge and also familiarity with R language.

VS

May 28, 2017

Good Practice..........!!!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!

篩選依據:

1 - The R Programming Environment 的 25 個評論(共 211 個)

創建者 The B M H

Jun 17, 2019

This course uses a software package developed by the instructors for a portion of the required tests. There are serious bugs in this package that make it impossible for students to complete the tasks assigned. Going through the discussion boards, these flaws have been present for at least 2 years -- clearly Johns Hopkins in general, and the instructors in particular, hold the students' time and learning experience in such low regard it borders on contempt.

創建者 David M

Mar 25, 2019

The content is good, but many students (including me) are NOT able to submit assignments with the course "token". I've commented in the course discussion forum about this, and I have opened a support ticket with Coursera, but no one is taking serious initiative to correct the malfunction.

創建者 Paul D

Apr 10, 2018

This course should be removed for two reasons:

1. The only videos are the introduction videos. Everything else is a text-based assignment. This is just lazy. If I wanted to google how commands worked, I can do that without paying for Coursera. There is no instructional material contained in this course.

2. The student is required to submit assignments through a third-party interface that doesn't work. Completed assignments are not given credit. There are many people in the discussion forums saying the same thing.

創建者 S S A R

Feb 01, 2018

Swirl doesn't allow some codes even if its correct. '=' is not allowed for example.

創建者 Mathieu G

Nov 19, 2017

Not possible to submit programming assignments, this course seems to have a lot of technical issues. Signing out during the first week and un-enrolling the specialization. I'll check again later to see if those technical problems are solved.

創建者 Andrew F

Jun 26, 2017

this course basically just has you run through the widely available SWIRL packages and then gives you a quiz it has poorly prepared you for and charges you for the privilege.

創建者 Deleted A

Apr 17, 2017

This course, and the Specialization as a whole, is poorly structured and a rather cursory overview that is unlikely to satisfy serious learners. If the material is completely new to you then it will likely leave you confused as it does not adequately explain the concepts. If you are already somewhat familiar and are looking for deeper dive into R and programming you will be disappointed as the courses just don't have the depth of material needed to gain mastery over the subject.

Your money and time would probably be better spent on a couple of books by Wickham.

創建者 Kanna V

Jun 18, 2019

A very good course to read and get the valuable content of R language. This is for the students who want to learn and practice the basic and some intermediate concepts of data manipulation.

創建者 Michael E

Jun 14, 2019

There is a lot of great information in this course. What really solidifies what I learned was the quiz at the end. It was challenging and forces you to incorporate all that you have learned in novel ways.

創建者 Kasidis S

Jun 03, 2019

Good introduction, love it!

創建者 Siddhesh S

May 28, 2019

Excellent Course, each and every concept is well explained.

創建者 TSEBO C M C

May 25, 2019

Good course, i learned a lot on R.

創建者 Benjamin S

May 14, 2019

T

創建者 Prakhar P

May 14, 2019

This is a refresher course for someone who already knows R. For anyone starting to learn R and Data Science, Data Science Specialization is a good curriculum to start with.

創建者 Bharath k R

Apr 14, 2019

One of the best courses for R

創建者 Vikesh K

Mar 21, 2019

Very good course. The pedagogy and the course content along with the assignments is rigorous and fantastic.

創建者 Marcinina A

Mar 18, 2019

The course content itself is good and easy to follow, but one assignment has a recurring bug since at least 2 years back that prevents other students from successfully submitting a required assignment. Despite a long and active thread regarding this bug, the problem has yet to be addressed, preventing some students from completing the course.

創建者 Georgios P

Mar 15, 2019

Neat and easy to read introduction!

創建者 Laura O

Feb 27, 2019

The contents of the Course are great and you can learn a lot of stuff regarding the R Programming Environment. Unfortunately, there has been errors in the evaluations that have been pointed out in the forum for more than two years now and the Instructors haven´t attended them. They claim that that´s the system of Johns Hopkins University, to make evaluations hard, however, when you refer in a test to the name of a variable that doesn’t exist is not making a test hard, is losing the time of your students and therefore adding unnecessary obstacles to their learning process. Also when comparing the material printed in Coursera and the book that the instructors suggested for the Course, there are basic errors like printing the wrong Graph. If you are really interested in advanced programming in R, take the course, however, BE AWARE THAT THERE ARE FLAWS AND READ THE FORUMS BEFORE ANSWERING THE EVALUATION, IF NOT YOU ARE GOING TO WASTE A LOT OF TIME IN USELESS ISSUES!!!!!!

創建者 Vibha S

Feb 14, 2019

The course was well designed for beginners. It helped me to gain lot of confidence in building my knowledge

創建者 Alice M

Feb 01, 2019

Solid introduction to R and the tidyverse with very nice assignments to get practice on the command line.

創建者 Tianyuan W

Jan 27, 2019

It is a very good course for new learners. However, it could be better if there is a R script writing the right code for the final quiz.

創建者 Yang Z

Jan 26, 2019

Very practical course with plenty of practices to get you started data handling in R. Course focus on Tidyverse series of packages which come in handy when dealt with data manipulation. Little is talked about on in-built functions of R and use of functions is not covered.

創建者 Norman C

Jan 25, 2019

Good lessons but wish there was more lectures by the professors.

創建者 Taras P

Jan 23, 2019

This course has a perfect combination of theory and hands-on exercises. I've been doing a few courses in Data Science on Coursera and I have found this method the best at least for me personally. I will probably carry on doing these courses. On the negative side, the student forum is practically dead, don't count on getting any help there. Coursera support have been very difficult and I had to wait a while to get my certificate. In the meantime Coursera charged me for an extra month (after I'd completed the course).