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The R Programming Environment, Université Johns-Hopkins

4.4
768 notes
203 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par VS

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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197 avis

par Vibha Sharma

Feb 14, 2019

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

par Alice MacQueen

Feb 01, 2019

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

par Tianyuan Wang

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.

par Yang Zhengyu

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.

par Norman Cho

Jan 25, 2019

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

par Taras Poltorak

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).

par Shawn McKenzie

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+++

par Nitin Sharma

Jan 15, 2019

Brilliant course to get the basics of data wrangling

par Pulkit Dikshit

Jan 04, 2019

very good course. I love it.

par Yajun Lu

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.