關於此 專項課程

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R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. 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 and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll 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. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts.
學生職業成果
46%
完成此 專項課程 後開始了新的職業。
13%
加薪或升職。

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

完成時間大約為6 個月

建議 3 小時/週

英語(English)

字幕:英語(English), 法語(French), 俄語(Russian), 中文(簡體), 阿拉伯語(Arabic), 越南語, 德語(German), 格魯吉亞語, 愛沙尼亞語, 泰語, 日語, 尼泊爾語...
學生職業成果
46%
完成此 專項課程 後開始了新的職業。
13%
加薪或升職。

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

完成時間大約為6 個月

建議 3 小時/週

英語(English)

字幕:英語(English), 法語(French), 俄語(Russian), 中文(簡體), 阿拉伯語(Arabic), 越南語, 德語(German), 格魯吉亞語, 愛沙尼亞語, 泰語, 日語, 尼泊爾語...

專項課程的運作方式

加入課程

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實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 5 門課程

課程1

課程 1

The R Programming Environment

4.4
935 個評分
245 條評論
課程2

課程 2

Advanced R Programming

4.3
451 個評分
111 條評論
課程3

課程 3

Building R Packages

4.1
185 個評分
47 條評論
課程4

課程 4

Building Data Visualization Tools

4.0
134 個評分
33 條評論

提供方

约翰霍普金斯大学 徽標

约翰霍普金斯大学

常見問題

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 3-6 months.

  • Some programming experience (in any language) is recommended. We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required).

  • We strongly recommend that you take the courses in order.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will be able to use R to create new data science tools as part of a team or a community of developers. You will be able to build R packages, develop custom visualizations, and apply modern software development tools to create reusable code for solving data science problems.

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