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.
About this Course
Skills you will gain
- 5 stars58.75%
- 4 stars22.50%
- 3 stars10.35%
- 2 stars2.85%
- 1 star5.53%
TOP REVIEWS FROM ADVANCED R PROGRAMMING
Good Course! But focus should be more on OOPs Concepts through video lectures to better understand it.
Great course but would prefer more video lectures versus text based lectures. Otherwise, a great course to help build out the foundations of R programming.
More advanced, challenging course. Still, enjoyable and enlightening. Mentoring on this course is really helpful too!
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.
About the Mastering Software Development in R Specialization
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