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.
제공자:
존스홉킨스대학교이 강좌에 대하여
최근 조회 345,345회
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
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, 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 Analysis
- Debugging
- R Programming
- Rstudio
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
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, 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 계획표 - 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
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
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
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
검토
- 5 stars68.12%
- 4 stars22.20%
- 3 stars5.81%
- 2 stars2.06%
- 1 star1.77%
R 프로그래밍의 최상위 리뷰
JS 제공2019년 9월 8일
The course was a wonderful introduction to R, though I felt the programming projects were lacking a bit in terms of direction. Definitely go through the swirl exercises to help reinforce everything!
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!
AC 제공2018년 7월 15일
For anyone planning to set their foot in the vast field of data analytics and R, this course is what will set the momentum and actually make you fond of programming in R by the end of the course.
SS 제공2021년 3월 29일
Nice course but it would be better if more links to this course and exercises were added for students to be able to have more practices not only with swirl ( ) but also with trustable third parties.
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