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R Programming: Conditionals, Loops, Functions, and Packages

R Programming: Conditionals, Loops, Functions, and Packages

本课程是 R Programming for Data Science 专项课程的一部分

位教师：Bill Rosenthal

包含在中

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3个模块

深入了解一个主题并学习基础知识。

6 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

In this course, you will write conditional statements and loops, and structure code for reuse with functions and packages.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

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了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 R Programming for Data Science 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

In this course, you'll continue to develop your R programming skills by writing conditional statements and loops—two of the most important constructs in any programming language. You'll also structure code for reuse by defining and calling functions, applying loop functions, and managing R packages.

单元详情

Like any modern programming language, R enables you to control the logical flow of a program. The main constructs for doing so are conditional statements and loops, which you'll implement in this lesson so that you can apply decision making to code.

涵盖的内容

1篇阅读材料4个插件

Most languages excel at giving programmers the tools they need to make coding easier. Reusing code not only allows you to develop at a quicker pace, but it also makes your source code more readable. Inefficient and ugly code is incredibly difficult to maintain, so you'll leverage R's built-in reusable objects to avoid this pitfall