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Comentários e feedback de alunos de The R Programming Environment da instituição Universidade Johns Hopkins

807 classificações
212 avaliações

Sobre o curso

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....

Melhores avaliações


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.


May 28, 2017

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

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1 — 25 de {totalReviews} Avaliações para o The R Programming Environment

por 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.

por 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.

por 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.

por Kasidis S

Jun 03, 2019

Good introduction, love it!

por Siddhesh S

May 28, 2019

Excellent Course, each and every concept is well explained.


May 25, 2019

Good course, i learned a lot on R.

por Benjamin S

May 14, 2019


por 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.

por Bharath k R

Apr 14, 2019

One of the best courses for R

por 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.

por Vikesh K

Mar 21, 2019

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

por 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.

por Georgios P

Mar 15, 2019

Neat and easy to read introduction!

por 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!!!!!!

por Vibha S

Feb 14, 2019

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

por Alice M

Feb 01, 2019

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

por 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.

por 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.

por Norman C

Jan 25, 2019

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

por 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).

por Shawn M

Jan 17, 2019

Loved this course! Beware that the material is at an intermediate level, and not really appropriate for beginner R programmers. The final quiz was extremely challenging, as it should be, and very useful.

I give this course six stars and take one away for the automated upload of answers from R (the swirl package). This package /process is really buggy and causes needless grief especially in Lesson 2.

The content of this course is A+++

por Nitin S

Jan 15, 2019

Brilliant course to get the basics of data wrangling

por Pulkit D

Jan 04, 2019

very good course. I love it.

por Yajun L

Dec 26, 2018

First three weeks materials are amazing, and I like to interactive with swirl(). If there are some more videos rather than reading materials, it would be interesting.

por Mayank V

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.