課程信息
4.6
13,581 個評分
2,802 個審閱

第 2 門課程(共 10 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

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

建議:7 hours/week...

英語(English)

字幕:英語(English), 阿拉伯語(Arabic), 法語(French), 中文(簡體), 越南語, 日語...

您將學到的內容有

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    Collect detailed information using R profiler

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    Configure statistical programming software

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    Make use of R loop functions and debugging tools

  • Check

    Understand critical programming language concepts

您將獲得的技能

Data AnalysisDebuggingR ProgrammingRstudio

第 2 門課程(共 10 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

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

建議:7 hours/week...

英語(English)

字幕:英語(English), 阿拉伯語(Arabic), 法語(French), 中文(簡體), 越南語, 日語...

教學大綱 - 您將從這門課程中學到什麼

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
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
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
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
2,802 個審閱Chevron Right

32%

完成這些課程後已開始新的職業生涯

32%

通過此課程獲得實實在在的工作福利

11%

加薪或升職

熱門審閱

創建者 EJJul 12th 2016

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!

創建者 WHFeb 3rd 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!

講師

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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg 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....

關於 数据科学 專項課程

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
数据科学

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