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.
This course is part of the Mastering Software Development in R Specialization
About this Course
Skills you will gain
- Logic Programming
- R Programming
- Object-Oriented Programming (OOP)
- Functional Programming
Syllabus - What you will learn from this course
Welcome to Advanced R Programming
Functions: Lesson Choices
Functional Programming: Lesson Choices
Debugging and Profiling
- 5 stars58.64%
- 4 stars22.45%
- 3 stars10.33%
- 2 stars2.85%
- 1 star5.70%
TOP REVIEWS FROM ADVANCED R PROGRAMMING
Good course, nothing much to say, definitely teaches the use of R, not quite sure it is "advanced" but I guess...
The last problem is unnecessarily difficult with little related teaching and learning material provided. Otherwise, the course is certainly well worth taking.
The final homework assignment is tough if you are a newcomer to R. It is sink or swim time. Worth it if you can get through it.
It is a good course that forced me to understand the s3 and s4 object of R and have gained an appreciation of "methods belonging to functions not belonging to objects".
About the Mastering Software Development in R Specialization
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