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.
- 5 stars58.85%
- 4 stars22.54%
- 3 stars10.37%
- 2 stars2.86%
- 1 star5.36%
来自高级 R 语言程序设计的热门评论
The last problem is unnecessarily difficult with little related teaching and learning material provided. Otherwise, the course is certainly well worth taking.
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.
That was exactly what I was looking for - first steprs In functional programming with perfect explanations and nice tasks via R :)
Good course, nothing much to say, definitely teaches the use of R, not quite sure it is "advanced" but I guess...