In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
존스홉킨스대학교이 강좌에 대하여
최근 조회 764,637회
학습자 경력 결과
31%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
31%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
11%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
Familiarity with regression is recommended.
완료하는 데 약 57시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 중국어 (간체자), 이탈리아어, 포르투갈어 (브라질), 베트남어, 한국어, 독일어, 러시아어, 터키어, 영어, 스페인어, 일본어
배울 내용
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R profiler
귀하가 습득할 기술
Data AnalysisDebuggingR ProgrammingRstudio
학습자 경력 결과
31%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
31%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
11%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
Familiarity with regression is recommended.
완료하는 데 약 57시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 중국어 (간체자), 이탈리아어, 포르투갈어 (브라질), 베트남어, 한국어, 독일어, 러시아어, 터키어, 영어, 스페인어, 일본어
제공자:
존스홉킨스대학교
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 25시간 필요
Week 1: Background, Getting Started, and Nuts & Bolts
This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.
완료하는 데 25시간 필요
28개 동영상 (총 129분), 9 개의 읽기 자료, 8 개의 테스트
28개의 동영상
Installing R on Windows3m
Installing R Studio (Mac)1m
Writing Code / Setting Your Working Directory (Windows)7m
Writing Code / Setting Your Working Directory (Mac)7m
Introduction1m
Overview and History of R16m
Getting Help13m
R Console Input and Evaluation4m
Data Types - R Objects and Attributes4m
Data Types - Vectors and Lists6m
Data Types - Matrices3m
Data Types - Factors4m
Data Types - Missing Values2m
Data Types - Data Frames2m
Data Types - Names Attribute1m
Data Types - Summary43
Reading Tabular Data5m
Reading Large Tables7m
Textual Data Formats4m
Connections: Interfaces to the Outside World4m
Subsetting - Basics4m
Subsetting - Lists4m
Subsetting - Matrices2m
Subsetting - Partial Matching1m
Subsetting - Removing Missing Values3m
Vectorized Operations3m
Introduction to swirl1m
9개의 읽기 자료
Welcome to R Programming10m
About the Instructor10m
Pre-Course Survey10m
Syllabus10m
Course Textbook10m
Course Supplement: The Art of Data Science10m
Data Science Podcast: Not So Standard Deviations10m
Getting Started and R Nuts and Bolts10m
Practical R Exercises in swirl Part 110m
1개 연습문제
Week 1 Quiz30m
완료하는 데 12시간 필요
Week 2: Programming with R
Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week.
완료하는 데 12시간 필요
13개 동영상 (총 91분), 3 개의 읽기 자료, 5 개의 테스트
13개의 동영상
Control Structures - If-else1m
Control Structures - For loops4m
Control Structures - While loops3m
Control Structures - Repeat, Next, Break4m
Your First R Function10m
Functions (part 1)9m
Functions (part 2)7m
Scoping Rules - Symbol Binding10m
Scoping Rules - R Scoping Rules8m
Scoping Rules - Optimization Example (OPTIONAL)9m
Coding Standards8m
Dates and Times10m
3개의 읽기 자료
Week 2: Programming with R10m
Practical R Exercises in swirl Part 210m
Programming Assignment 1 INSTRUCTIONS: Air Pollution10m
2개 연습문제
Week 2 Quiz30m
Programming Assignment 1: Quiz30m
완료하는 데 9시간 필요
Week 3: Loop Functions and Debugging
We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions and the debugging tools in R. These aspects of R make R useful for both interactive work and writing longer code, and so they are commonly used in practice.
완료하는 데 9시간 필요
8개 동영상 (총 61분), 2 개의 읽기 자료, 4 개의 테스트
8개의 동영상
Loop Functions - apply7m
Loop Functions - mapply4m
Loop Functions - tapply3m
Loop Functions - split9m
Debugging Tools - Diagnosing the Problem12m
Debugging Tools - Basic Tools6m
Debugging Tools - Using the Tools8m
2개의 읽기 자료
Week 3: Loop Functions and Debugging10m
Practical R Exercises in swirl Part 310m
1개 연습문제
Week 3 Quiz30m
완료하는 데 11시간 필요
Week 4: Simulation & Profiling
This week covers how to simulate data in R, which serves as the basis for doing simulation studies. We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs. Finally, we cover the str function, which I personally believe is the most useful function in R.
완료하는 데 11시간 필요
6개 동영상 (총 42분), 4 개의 읽기 자료, 5 개의 테스트
6개의 동영상
Simulation - Generating Random Numbers7m
Simulation - Simulating a Linear Model4m
Simulation - Random Sampling2m
R Profiler (part 1)10m
R Profiler (part 2)10m
4개의 읽기 자료
Week 4: Simulation & Profiling10m
Practical R Exercises in swirl Part 410m
Programming Assignment 3 INSTRUCTIONS: Hospital Quality10m
Post-Course Survey10m
2개 연습문제
Week 4 Quiz30m
Programming Assignment 3: Quiz30m
검토
R 프로그래밍의 최상위 리뷰
MR 제공2020년 5월 11일
Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.
WH 제공2016년 2월 2일
"R Programming" forces you to dive in deep. These skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!
EJ 제공2016년 7월 11일
Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!
JM 제공2019년 8월 11일
Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.
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