課程信息
4.3
336 個評分
86 個審閱
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
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中級

中級

完成時間(小時)

完成時間大約為11 小時

建議:4 hours/week...
可選語言

英語(English)

字幕:英語(English), 中文(簡體)

您將獲得的技能

Logic ProgrammingR ProgrammingObject-Oriented Programming (OOP)Functional Programming
專項課程
100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為11 小時

建議:4 hours/week...
可選語言

英語(English)

字幕:英語(English), 中文(簡體)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 8 分鐘

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....
Reading
1 個視頻 (總計 1 分鐘), 3 個閱讀材料
Video1 個視頻
Reading3 個閱讀材料
Syllabus1分鐘
Course Textbook: Mastering Software Development in R1分鐘
swirl Assignments5分鐘
完成時間(小時)
完成時間為 3 小時

Functions

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....
Reading
17 個閱讀材料, 1 個測驗
Reading17 個閱讀材料
Control Structures Overview2分鐘
if-else10分鐘
for Loops10分鐘
Nested for loops10分鐘
next, break10分鐘
Summary2分鐘
Functions Overview2分鐘
Code10分鐘
Function interface10分鐘
Default values10分鐘
Re-factoring code10分鐘
Dependency Checking10分鐘
Vectorization10分鐘
Argument Checking10分鐘
R package10分鐘
When Should I Write a Function?10分鐘
Summary2分鐘
Quiz1 個練習
Swirl Lessons
2
完成時間(小時)
完成時間為 4 小時

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....
Reading
19 個閱讀材料, 1 個測驗
Reading19 個閱讀材料
What is Functional Programming?10分鐘
Core Functional Programming Functions10分鐘
Map10分鐘
Reduce10分鐘
Search10分鐘
Filter10分鐘
Compose10分鐘
Partial Application10分鐘
Side Effects10分鐘
Recursion10分鐘
Summary2分鐘
Expressions10分鐘
Environments10分鐘
Execution Environments10分鐘
What is an error?10分鐘
Generating Errors10分鐘
When to generate errors or warnings10分鐘
How should errors be handled?10分鐘
Summary2分鐘
Quiz1 個練習
Swirl Lesson30分鐘
3
完成時間(小時)
完成時間為 2 小時

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....
Reading
15 個閱讀材料, 1 個測驗
Reading15 個閱讀材料
Debugging Overview2分鐘
traceback()10分鐘
Browsing a Function Environment10分鐘
Tracing Functions10分鐘
Using debug() and debugonce()10分鐘
recover()10分鐘
Final Thoughts on Debugging10分鐘
Summary2分鐘
Profiling Overview2分鐘
microbenchmark10分鐘
profvis10分鐘
Find out more10分鐘
Summary2分鐘
Non-standard evaluation10分鐘
Summary2分鐘
Quiz1 個練習
Debugging and Profiling30分鐘
4
完成時間(小時)
完成時間為 5 小時

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....
Reading
11 個閱讀材料, 1 個測驗
Reading11 個閱讀材料
OOP Overview2分鐘
Object Oriented Principles10分鐘
S310分鐘
S410分鐘
Reference Classes10分鐘
Summary2分鐘
Overview2分鐘
Reuse existing data structures10分鐘
Compose simple functions with the pipe10分鐘
Embrace functional programming10分鐘
Design for humans10分鐘
4.3
86 個審閱Chevron Right

熱門審閱

創建者 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.

創建者 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".

講師

Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

關於 Johns Hopkins University

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 Mastering Software Development in R 專項課程

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

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