About this Course
최근 조회 24,970

다음 전문 분야의 5개 강좌 중 2번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 12시간 필요

권장: 4 hours/week...


자막: 영어, 중국어 (간체자)

귀하가 습득할 기술

Logic ProgrammingR ProgrammingObject-Oriented Programming (OOP)Functional Programming

다음 전문 분야의 5개 강좌 중 2번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 12시간 필요

권장: 4 hours/week...


자막: 영어, 중국어 (간체자)

강의 계획 - 이 강좌에서 배울 내용

완료하는 데 8분 필요

Welcome to Advanced R Programming

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.

1 video (Total 1 min), 3 readings
1개의 동영상
3개의 읽기 자료
Course Textbook: Mastering Software Development in R1m
swirl Assignments5m
완료하는 데 2시간 필요


This module begins with control structures in R for controlling the logical flow of an R program. We then move on to functions, their role in R programming, and some guidelines for writing good functions.

17 readings
17개의 읽기 자료
Control Structures Overview2m
for Loops10m
Nested for loops10m
next, break10m
Functions Overview2m
Function interface10m
Default values10m
Re-factoring code10m
Dependency Checking10m
Argument Checking10m
R package10m
When Should I Write a Function?10m
완료하는 데 2시간 필요

Functions: Lesson Choices

2 quizzes
1개 연습문제
Swirl Lesson1h
완료하는 데 3시간 필요

Functional Programming

Functional programming is a key aspect of R and is one of R's differentiating factors as a data analysis language. Understanding the concepts of functional programming will help you to become a better data science software developer. In addition, we cover error and exception handling in R for writing robust code.

19 readings
19개의 읽기 자료
What is Functional Programming?10m
Core Functional Programming Functions10m
Partial Application10m
Side Effects10m
Execution Environments10m
What is an error?10m
Generating Errors10m
When to generate errors or warnings10m
How should errors be handled?10m
완료하는 데 3시간 필요

Functional Programming: Lesson Choices

2 quizzes
1개 연습문제
Swirl Lesson1시 30분
완료하는 데 2시간 필요

Debugging and Profiling

Debugging tools are useful for analyzing your code when it exhibits unexpected behavior. We go through the various debugging tools in R and how they can be used to identify problems in code. Profiling tools allow you to see where your code spends its time and to optimize your code for maximum efficiency.

15 readings, 1 quiz
15개의 읽기 자료
Debugging Overview2m
Browsing a Function Environment10m
Tracing Functions10m
Using debug() and debugonce()10m
Final Thoughts on Debugging10m
Profiling Overview2m
Find out more10m
Non-standard evaluation10m
1개 연습문제
Debugging and Profiling30m
완료하는 데 5시간 필요

Object-Oriented Programming

Object oriented programming allows you to define custom data types or classes and a set of functions for handling that data type in a way that you define. R has a three different methods for implementing object oriented programming and we will cover them in this section.

11 readings, 1 quiz
11개의 읽기 자료
OOP Overview2m
Object Oriented Principles10m
Reference Classes10m
Reuse existing data structures10m
Compose simple functions with the pipe10m
Embrace functional programming10m
Design for humans10m
94개의 리뷰Chevron Right


이 강좌를 수료한 후 새로운 경력 시작하기


이 강좌를 통해 확실한 경력상 이점 얻기

Advanced R Programming의 최상위 리뷰

대학: FZJun 7th 2017

Very useful, I considered myself quite an advanced R user, but this class raised the level, especially with the R as OOB part. Good investment if you are not a beginner.

대학: JYMay 8th 2017

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".



Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

존스홉킨스대학교 정보

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Mastering Software Development in R 전문 분야 정보

This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers....
Mastering Software Development in R

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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