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The R Programming Environment, Johns Hopkins University

4.4
728 classificações
192 avaliações

Informações 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

por VS

May 28, 2017

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

por AH

Aug 05, 2017

The R Programing Environment is very supportive environment, and I appriciate the guideline and the materials. futhermore, the course was good begining. Thanks

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186 avaliações

por Patrick Raedler

Dec 10, 2018

The course book is good and a nice resource. Swirl lessons were also really nice. They are interactive and helped becoming familiar with the functions. However, video tutorials on real datasets like the one from week 4 would be helpful. Also, the final quiz was disproportionally difficult in comparison to what was taught during the weeks leading up to week 4. Overall a good course that provides a solid introduction to R.

por Ivan Ying Pui IP (500745)

Dec 07, 2018

The teaching is very practical. Apprciate

por Lu Pi

Nov 20, 2018

The course is helpful for the R beginners. Learned a lot during the course, and the final week homework led me to review the past 3 weeks' lessons in a practical way. I recommand.

por Edisson Quesada Lopez

Nov 10, 2018

Excelent course!

por Lance Dooley

Nov 03, 2018

Excellent tour of basic R programming with many examples and well thought out assignments . The final project uses a real life data set and it was fun to use dplyr piping to find the correct answers. The Swirl program, which is downloaded inside of R as a package and is used for grading, was a little cumbersome at first, but once you get the hang of it, then it's not bad. Hang in there and don't give up.

por Erich F Gruhn

Oct 28, 2018

I keep learning new things with these courses. Very Valuable.

por Chung-Huey Wu

Oct 23, 2018

The Swirl interactive course materials are really helpful for hand-on practice in R-studio. Learned a lot of R fundamentals. Recommended.

por emmette

Oct 15, 2018

Great overview of R with a focus on Hadley Wickham's tidyverse (very useful set of packages for data scientists).

por Yifei Lu

Oct 14, 2018

Great class!!

por virginia becchetti

Oct 02, 2018

Wrong tutorial on swirl that obliges you to follow the course twice to get the code for the quix and to take the points to go on