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.
提供方
约翰霍普金斯大学
課程信息
465,156 次近期查看
Learner Career Outcomes
36%
完成這些課程後已開始新的職業生涯
35%
通過此課程獲得實實在在的工作福利
11%
加薪或升職
您將學到的內容有
Collect detailed information using R profiler
Configure statistical programming software
Make use of R loop functions and debugging tools
Understand critical programming language concepts
您將獲得的技能
Data AnalysisDebuggingR ProgrammingRstudio
Learner Career Outcomes
36%
完成這些課程後已開始新的職業生涯
35%
通過此課程獲得實實在在的工作福利
11%
加薪或升職
100% 在線
立即開始，按照自己的計劃學習。
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中級
You should have beginner level experience in Python. Familarity with regression is recommended.
完成時間大約為20 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, 中文（簡體）, 巴西葡萄牙語, 越南語, 英語（English）, 西班牙語（Spanish）, 日語
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 25 小時
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.
28 個視頻 （總計 129 分鐘）, 9 個閱讀材料, 8 個測驗
28 個視頻
Installing R on Windows3分鐘
Installing R Studio (Mac)1分鐘
Writing Code / Setting Your Working Directory (Windows)7分鐘
Writing Code / Setting Your Working Directory (Mac)7分鐘
Introduction1分鐘
Overview and History of R16分鐘
Getting Help13分鐘
R Console Input and Evaluation4分鐘
Data Types - R Objects and Attributes4分鐘
Data Types - Vectors and Lists6分鐘
Data Types - Matrices3分鐘
Data Types - Factors4分鐘
Data Types - Missing Values2分鐘
Data Types - Data Frames2分鐘
Data Types - Names Attribute1分鐘
Data Types - Summary43
Reading Tabular Data5分鐘
Reading Large Tables7分鐘
Textual Data Formats4分鐘
Connections: Interfaces to the Outside World4分鐘
Subsetting - Basics4分鐘
Subsetting - Lists4分鐘
Subsetting - Matrices2分鐘
Subsetting - Partial Matching1分鐘
Subsetting - Removing Missing Values3分鐘
Vectorized Operations3分鐘
Introduction to swirl1分鐘
9 個閱讀材料
Welcome to R Programming10分鐘
About the Instructor10分鐘
Pre-Course Survey10分鐘
Syllabus10分鐘
Course Textbook10分鐘
Course Supplement: The Art of Data Science10分鐘
Data Science Podcast: Not So Standard Deviations10分鐘
Getting Started and R Nuts and Bolts10分鐘
Practical R Exercises in swirl Part 110分鐘
1 個練習
Week 1 Quiz40分鐘
週
2完成時間為 12 小時
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.
13 個視頻 （總計 91 分鐘）, 3 個閱讀材料, 5 個測驗
13 個視頻
Control Structures - If-else1分鐘
Control Structures - For loops4分鐘
Control Structures - While loops3分鐘
Control Structures - Repeat, Next, Break4分鐘
Your First R Function10分鐘
Functions (part 1)9分鐘
Functions (part 2)7分鐘
Scoping Rules - Symbol Binding10分鐘
Scoping Rules - R Scoping Rules8分鐘
Scoping Rules - Optimization Example (OPTIONAL)9分鐘
Coding Standards8分鐘
Dates and Times10分鐘
3 個閱讀材料
Week 2: Programming with R10分鐘
Practical R Exercises in swirl Part 210分鐘
Programming Assignment 1 INSTRUCTIONS: Air Pollution10分鐘
2 個練習
Week 2 Quiz20分鐘
Programming Assignment 1: Quiz20分鐘
週
3完成時間為 10 小時
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.
8 個視頻 （總計 61 分鐘）, 2 個閱讀材料, 4 個測驗
8 個視頻
Loop Functions - apply7分鐘
Loop Functions - mapply4分鐘
Loop Functions - tapply3分鐘
Loop Functions - split9分鐘
Debugging Tools - Diagnosing the Problem12分鐘
Debugging Tools - Basic Tools6分鐘
Debugging Tools - Using the Tools8分鐘
2 個閱讀材料
Week 3: Loop Functions and Debugging10分鐘
Practical R Exercises in swirl Part 310分鐘
1 個練習
Week 3 Quiz10分鐘
週
4完成時間為 11 小時
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.
6 個視頻 （總計 42 分鐘）, 4 個閱讀材料, 5 個測驗
6 個視頻
Simulation - Generating Random Numbers7分鐘
Simulation - Simulating a Linear Model4分鐘
Simulation - Random Sampling2分鐘
R Profiler (part 1)10分鐘
R Profiler (part 2)10分鐘
4 個閱讀材料
Week 4: Simulation & Profiling10分鐘
Practical R Exercises in swirl Part 410分鐘
Programming Assignment 3 INSTRUCTIONS: Hospital Quality10分鐘
Post-Course Survey10分鐘
2 個練習
Week 4 Quiz20分鐘
Programming Assignment 3: Quiz20分鐘
4.6
3242 條評論來自R 语言程序设计（中文版）的熱門評論
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.
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!
講師
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
關於 约翰霍普金斯大学
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.
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