R Programming: Setup and Data Processing

R Programming: Setup and Data Processing

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

位教师：Bill Rosenthal

访问权限由 New York State Department of Labor 提供

4个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

In this course, you will set up an R development environment, execute simple code, and perform operations on atomic data types and data structures.

您将获得的技能

要了解的详细信息

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作业

1 项作业

授课语言：英语（English）

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

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该课程共有4个模块

This course will be useful to anyone who wants to learn the R programming language, particularly to leverage it for data analysis and data science tasks. You will begin by setting up an R development environment and executing simple code. Then, you'll process atomic data types like characters, numbers, and logical. You'll also process data structures like vectors, factors, and data frames.

Before you can start developing data science projects in R, you must set up a system with the necessary tools. Then you can create a new programming project and start writing and testing your code.

涵盖的内容

1篇阅读材料5个插件

Now that you have some experience with writing code in R, you can take a deeper dive into the characteristics of the language itself. Like all languages, R categorizes data in different ways. You'll need to know how to process each data type in order to successfully work with your data.

涵盖的内容

5个插件

In the previous lesson, you worked with R's atomic data types. These atomic types are components of larger objects that structure data in more complex, yet practical forms. In this lesson, you'll learn how to process the main data structures that R supports.