Advanced R Programming
Master advanced R programming techniques for developing robust data science tools. Learn functional programming, error handling, OOP, profiling, debugging, and function design. Gain the ability to abstract common data analysis tasks and create user-facing functions. Customize software for unique data challenges and define new data types in R. Enhance team collaboration and reusability in data science tasks. Start building powerful, reusable tools today.
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.
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