Learn R programming from scratch (step by step) by Linda Mazibuko

开始学习 R 编程语言并获得数据科学、统计学和数学方面的需求技能。

类型：电子学习 | MP4 | 视频：h264, 1280×720 | 音频：AAC，44.1 KHz
语言：英语 | 大小：971 MB | 时长：3h 57m

你会学到什么

• 如何编写 R 代码
• 如何使用数据结构（例如向量、矩阵等）
• 如何在 R 中使用分析图形（散点图、条形图等）
• 如何使用数据集并获取统计分析数据

要求

无需编程经验。你会学到你需要知道的一切。

描述

在本课程中，您将从头开始学习 R 编程语言的基础知识。你不需要编程方面的经验，因为一切都会被解释。当然，以前的编程经验将为更容易理解本课程中介绍的概念带来额外的优势。

R语言通常用于统计计算和图形表示，以可视化和分析数据。除了成为研究、统计等方面的必备技能外，学习 R 编程语言还有以下好处

它提供了许多统计技术（如统计测试、分类、聚类和数据缩减）

它是数据分析、数据可视化、数据科学和机器学习的重要资源

在 R 中绘制图形很容易，如饼图、直方图、箱线图、散点图等。

它是一种跨平台语言，适用于不同的操作系统，如 Windows、Mac 和 Linux。

它是开源免费的，无需担心许多高级统计分析工具中常见的订阅费用。

如果您在使用 R 编程语言时遇到问题，您不必担心，因为 R 拥有庞大的社区支持。这有助于更轻松地为解决方案提供资金。

它有许多可用于解决不同问题的包（函数库）。

与其他编程语言有关。

最先进的统计语言

本课程适用于
对统计、数据科学和数学感兴趣的初学者 R 开发人员。

Getting started learning R programming language and gain in demand skill in data science , statistics and mathematics.

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 971 MB | Duration: 3h 57m

What you’ll learn

• How to write R code
• How to work with data structures (e.g vectors,matrices etc.)
• How to use analysis graphics (scatter plots, bar graphs, etc.) in R
• How to work with datasets and get statistical analysis data

Requirements

No programming experience is required. You will learn everything you need to know.

Description

In this course you are going to learn the basics of R programming language from scratch. You don’t need prior experience in programming because everything will be explained. Of course prior experience to programming will bring added advantage for easier understanding of the concepts presented to this course.

R language is usually used in statistical computing and graphical presentation to visualize and analyze data. Besides of being a demand skill in research, statistics and many more, learning R programming language have the following benefits

It provides many statistical techniques (such as statistical tests, classification, clustering and data reduction)

It is a great resource for data analysis, data visualization, data science and machine learning

It is easy to draw graphs in R, like pie charts, histograms, box plot, scatter plot, etc.

It is a cross platform language, working on different operating system such as Windows, Mac, and Linux.

It is open-source and free, no need to worry about subscription fees which are common in many advanced statistical analyses tools.

If you face problem whilst working with the R programming language, you don’t have to worry because R has a large community support. This helps in funding solutions easier.

It has many packages (libraries of functions) that can be used to solve different problems.

Relates to other programming languages.

Most advanced statistical language

Who this course is for
Beginner R developers who are curious about statistics, data science and mathematics.