关于此 专项课程

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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.
学生职业成果
45%
完成此 专项课程 后开始了新的职业。
12%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成时间大约为6 个月
建议 4 小时/周
英语(English)
学生职业成果
45%
完成此 专项课程 后开始了新的职业。
12%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成时间大约为6 个月
建议 4 小时/周
英语(English)

此专项课程包含 5 门课程

课程1

课程 1

The R Programming Environment

4.4
1,053 个评分
287 条评论
课程2

课程 2

Advanced R Programming

4.3
516 个评分
125 条评论
课程3

课程 3

Building R Packages

4.1
203 个评分
53 条评论
课程4

课程 4

Building Data Visualization Tools

3.9
146 个评分
38 条评论

提供方

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约翰霍普金斯大学

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