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.
About this Course
Learner Career Outcomes
Approx. 16 hours to complete
Learner Career Outcomes
Approx. 16 hours to complete
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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TOP REVIEWS FROM THE R PROGRAMMING ENVIRONMENT
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.
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.
Good to learn the possibilities in the R environment. In the end you learn most by applying it to your own projects (with a lot of help in available documentation or via internet sea).
Excellent class. I had already done a lot of the swirls and would have liked that to be in my record somewhere, although it really wasn't hard--and was probably good--to repeat them.
Very good overall. I feel that the first weeks are too easy relative to the last week - more involved practice and exercises would have been good before getting to the final quiz.
Very good starting course, covers all the basics.\n\nMy 2 cents: I would prefer more tests like the last one than the swirl lessons, they're more challenging thus you learn more.
Good Practice..........!!!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!
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.
The R Programing Environment is very supportive environment, and I appriciate the guideline and the materials. futhermore, the course was good begining. Thanks
I liked the swirl() package a lot, made me jump into writing codes into RStudio straight away. My only wish was to have some videos that would push me further
What I liked most about this course was that it gave us a solid foundation on how to program in R and at the same time made us want to learn more about it.
This course gave a great review of R. It also did a great job of highlighting the power of the tidyverse library for preparing data for analysis.
I like the swirl exercises, but found the text lessons to be very short. Overall, good but I hope some video will be given in future modules.
The Swirl interactive course materials are really helpful for hand-on practice in R-studio. Learned a lot of R fundamentals. Recommended.
very well, structure, the quiz was admirably hard, but satisfying to work through and solve. you made me think outside the box, excellent
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.
The course will be very helpful for those who are interested in R programming and starting it out. The course teaches you the basics.
Great course! The assignments are great, the readings are self explanatory and don't require much digging around for explanations.
very good introduction to the R programming language, with holistic introduction to updated R packages written by Hadley Wickham.
So far I have really enjoyed this course. It has added to my overall R knowledge, especially the functions for data manipulation.
About the Mastering Software Development in R Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.