课程信息
4.4
723 个评分
191 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为14 小时

建议:9 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Data ManipulationRegular Expression (REGEX)R ProgrammingRstudio
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为14 小时

建议:9 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 5 小时

Basic R Language

In this module, you'll learn the basics of R, including syntax, some tidy data principles and processes, and how to read data into R. ...
Reading
1 个视频 (总计 2 分钟), 27 个阅读材料, 1 个测验
Reading27 个阅读材料
Course Textbook: Mastering Software Development in R1分钟
Syllabus10分钟
Swirl Assignments10分钟
Datasets10分钟
Lesson Introduction2分钟
Evaluation3分钟
Objects1分钟
Numbers1分钟
Creating Vectors1分钟
Mixing Objects1分钟
Explicit Coercion3分钟
Matrices3分钟
Lists2分钟
Factors4分钟
Missing Values3分钟
Data Frames3分钟
Names4分钟
Attributes1分钟
Summary1分钟
The Importance of Tidy Data5分钟
The “Tidyverse”4分钟
Reading Tabular Data with the readr Package10分钟
Reading Web-Based Data1分钟
Flat files online10分钟
Requesting data through a web API10分钟
Scraping web data2分钟
Parsing JSON, XML, or HTML data3分钟
Quiz1 个练习
Swirl Lessons分钟
2
完成时间(小时)
完成时间为 4 小时

Data Manipulation

During this module, you'll learn to summarize, filter, merge, and otherwise manipulate data in R, including working through the challenges of dates and times. ...
Reading
11 个阅读材料, 1 个测验
Reading11 个阅读材料
Basic Data Manipulation10分钟
Piping7分钟
Summarizing data10分钟
Selecting and filtering data10分钟
Adding, changing, or renaming columns7分钟
Spreading and gathering data10分钟
Merging datasets10分钟
Working with Dates, Times, Time Zones3分钟
Converting to a date or date-time class7分钟
Pulling out date and time elements5分钟
Working with time zones8分钟
Quiz1 个练习
Swirl Lessons分钟
3
完成时间(小时)
完成时间为 4 小时

Text Processing, Regular Expression, & Physical Memory

During this module, you'll learn to use R tools and packages to deal with text and regular expressions. You'll also learn how to manage and get the most from your computer's physical memory when working in R. ...
Reading
9 个阅读材料, 1 个测验
Reading9 个阅读材料
Text Processing and Regular Expressions1分钟
Text Manipulation Functions in R10分钟
Regular Expressions15分钟
RegEx Functions in R5分钟
The stringr Package10分钟
Summary1分钟
The Role of Physical Memory10分钟
Back of the Envelope Calculations8分钟
Internal Memory Management in R5分钟
Quiz1 个练习
Swirl Lessons分钟
4
完成时间(小时)
完成时间为 5 小时

Large Datasets

In this final module, you'll learn how to overcome the challenges of working with large datasets both in memory and out as well as how to diagnose problems and find help....
Reading
7 个阅读材料, 1 个测验
Reading7 个阅读材料
Working with Large Datasets2分钟
In-memory strategies10分钟
Out-of-memory strategies10分钟
Diagnosing Problems5分钟
How to Google Your Way Out of a Jam5分钟
Asking for Help5分钟
Quiz Instructions分钟
Quiz1 个练习
Reading and Summarizing Data20分钟
4.4
191 个审阅Chevron Right
职业方向

42%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利
职业晋升

11%

加薪或升职

热门审阅

创建者 VSMay 28th 2017

Good Practice..........!!!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!

创建者 AHAug 5th 2017

The R Programing Environment is very supportive environment, and I appriciate the guideline and the materials. futhermore, the course was good begining. Thanks

讲师

Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

关于 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....

关于 Mastering Software Development in R 专项课程

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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