Advanced R Programming

Start Date: 10/20/2019

Course Type: Common Course

Course Link:

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Course Syllabus

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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Course Introduction

This course covers advanced topics in R programming that are necessary for developing powerful, robu

Course Tag

Logic Programming R Programming Object-Oriented Programming (OOP) Functional Programming

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