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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-language-with-hands-on-experience/
课程评论：没有评论
**课程名称：** R语言：面向数据科学的实践练习 **课程概述：** 本课程旨在**全面介绍R统计处理语言**，帮助学员掌握R在数据科学领域的应用。从**R的安装与RStudio集成开发环境（IDE）的配置**入手，课程将带领学员学习如何**读取SPSS和电子表格等多种数据格式**，并**利用R的强大包（packages）实现高级功能**。 课程内容涵盖**数据可视化**，包括创建**条形图（针对分类变量）、直方图和散点图**，以及**计算频率和描述性统计量**。此外，课程还将教授**数据处理技巧**，如**计算新变量**，以及**统计分析方法**，例如**检验统计假设、评估数据可靠性、识别数据异常值（outliers）**等。 最终，学员将学会如何**将R的分析结果以图表和表格的形式导出**，并通过**演示文稿和网页**有效地**分享研究成果**。 **核心主题包括：** * R语言简介 * R与RStudio的安装 * 创建分类变量的条形图 * 构建直方图 * 计算频率与描述性统计 * 创建新变量 * 创建散点图 * 比较均值 * R语言基础命令 * 在R中读取、访问和汇总数据 * 在Ubuntu Linux上快速安装R语言 **R语言在数据科学中的应用：** R语言是数据科学领域广泛使用的开源编程语言和环境，专为统计计算和图形化设计。它提供了丰富的功能和包，专注于数据分析、可视化和机器学习。总而言之，R语言是一个强大且多功能的数据科学工具，为数据分析、可视化和机器学习任务提供了全面的工具和资源。无论您是初学者还是经验丰富的数据科学家，R语言都将是您处理数据的宝贵工具。
This course will introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.The following topics are include· What is R?· Installing R and R studio (IDE)· Creating bar character for categorical variables· Building histograms· Calculating frequencies and descriptive· Computing new variables· Creating scatter plots· Comparing meansR language basics commandsReading ,Accessing and Summarizing Data in RQuick Install R language on UBUNTU LinuxR Programming For Data Science refers to the use of the R programming language and associated tools for tasks related to data science. R is a popular open-source programming language and environment specifically designed for statistical computing and graphics. It provides a wide range of functionalities and packages tailored for data analysis, visualization, and machine learning. Overall R is a powerful and versatile programming language for data science, offering a comprehensive suite of tools and resources for data analysis, visualization, and machine learning tasks. Whether you're a beginner or an experienced data scientist, R can be an invaluable tool in your toolkit for working with data.
