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中級

完成時間大約為16 小時

建議:10 hours/week...

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您將獲得的技能

Data ManipulationRegular Expression (REGEX)R ProgrammingRstudio

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

完成時間大約為16 小時

建議:10 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

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.

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1 個視頻 (總計 2 分鐘), 27 個閱讀材料
27 個閱讀材料
Course Textbook: Mastering Software Development in R1分鐘
Syllabus10分鐘
Swirl Assignments10分鐘
Datasets10分鐘
Lesson Introduction2分鐘
Evaluation3分鐘
Objects1分鐘
Numbers1分鐘
Creating Vectors1分鐘
Mixing Objects1分鐘
Explicit Coercion3分鐘
Matrices3分鐘
Lists2分鐘
Factors4分鐘
Missing Values3分鐘
Data Frames3分鐘
Names4分鐘
Attributes1分鐘
Summary1分鐘
The Importance of Tidy Data5分鐘
The “Tidyverse”4分鐘
Reading Tabular Data with the readr Package10分鐘
Reading Web-Based Data1分鐘
Flat files online10分鐘
Requesting data through a web API10分鐘
Scraping web data2分鐘
Parsing JSON, XML, or HTML data3分鐘
完成時間為 6 小時

Basic R Language: Lesson Choices

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2 個測驗
1 個練習
Swirl Lessons3小時
2
完成時間為 1 小時

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.

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11 個閱讀材料
11 個閱讀材料
Basic Data Manipulation10分鐘
Piping7分鐘
Summarizing data10分鐘
Selecting and filtering data10分鐘
Adding, changing, or renaming columns7分鐘
Spreading and gathering data10分鐘
Merging datasets10分鐘
Working with Dates, Times, Time Zones3分鐘
Converting to a date or date-time class7分鐘
Pulling out date and time elements5分鐘
Working with time zones8分鐘
完成時間為 6 小時

Data Manipulation: Lesson Choices

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2 個測驗
1 個練習
Swirl Lessons3小時
3
完成時間為 1 小時

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.

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9 個閱讀材料
9 個閱讀材料
Text Processing and Regular Expressions1分鐘
Text Manipulation Functions in R10分鐘
Regular Expressions15分鐘
RegEx Functions in R5分鐘
The stringr Package10分鐘
Summary1分鐘
The Role of Physical Memory10分鐘
Back of the Envelope Calculations8分鐘
Internal Memory Management in R5分鐘
完成時間為 6 小時

Text Processing, Regular Expression, & Physical Memory: Lesson Choices

Choice 1: Get credit while using swirl | Choice 2: Get credit by providing a code from swirl

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2 個測驗
1 個練習
Swirl Lessons3小時
4
完成時間為 5 小時

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.

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7 個閱讀材料, 1 個測驗
7 個閱讀材料
Working with Large Datasets2分鐘
In-memory strategies10分鐘
Out-of-memory strategies10分鐘
Diagnosing Problems5分鐘
How to Google Your Way Out of a Jam5分鐘
Asking for Help5分鐘
Quiz Instructions4小時
1 個練習
Reading and Summarizing Data20分鐘
4.4
212 個審閱Chevron Right

45%

完成這些課程後已開始新的職業生涯

41%

通過此課程獲得實實在在的工作福利

16%

加薪或升職

來自The R Programming Environment的熱門評論

創建者 MVDec 26th 2018

Very Very Rigorous Course for a beginner on R language and because of its nature, after completing just one course, I feel like I have gained a lot of knowledge and also familiarity with R language.

創建者 VSMay 28th 2017

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

講師

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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 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 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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