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Learner Reviews & Feedback for Advanced R Programming by Johns Hopkins University

4.3
stars
538 ratings
132 reviews

About the Course

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team....

Top reviews

MS
Feb 11, 2020

Brilliant course. Loved Week 4 for OOP. This was really new for me and would love to have been able to see its application in real world examples to better cement the concepts.

FZ
Jun 6, 2017

Very useful, I considered myself quite an advanced R user, but this class raised the level, especially with the R as OOB part. Good investment if you are not a beginner.

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126 - 128 of 128 Reviews for Advanced R Programming

By Christopher M P

Feb 10, 2020

Final assignment may not be reviewed for weeks. If you go on to capstone, issue could extent into months. Expect to use many external resources.

By Yuke L

Mar 14, 2020

I could never submit my grade for the quiz. Waste me three days getting nothing from this class

By David R

Feb 3, 2019

Swirl is confusing and it is too complicated to submit my work