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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-analysis-r
课程评论：没有评论
课程名称：使用R编程进行数据分析 概述：该课程是Google数据分析证书的第七门课程，旨在让您掌握申请初级数据分析师职位所需的技能。在本课程中，您将学习一种名为R的编程语言，并了解如何使用RStudio这一环境来进行R的操作。此外，课程还将介绍R特有的软件应用程序和工具，如R包。您将发现R如何以全新而强大的方式清理、组织、分析、可视化和报告数据。目前的Google数据分析师将继续教授您如何有效地使用最佳工具和资源完成常见的数据分析任务。完成该证书项目的学习者将具备申请初级数据分析师职位的能力，无需之前的经验。 课程目标： - 探索使用R编程语言的好处。 - 学习如何使用RStudio将R应用于您的分析。 - 掌握与R编程相关的基本概念。 - 探讨R包的内容和组成，包括Tidyverse包。 - 理解数据框及其在R中的使用。 - 探索R中生成可视化的选项。 - 学习使用R Markdown进行R编程文档的记录。 课程大纲： 1. 编程和数据分析：介绍R编程语言及其在数据分析过程中的应用，了解R和RStudio的优势及基本组成。 2. 使用RStudio编程：学习R的基本概念、函数和变量，用于高效的分析，以及R包的使用。 3. 在R中处理数据：探讨如何使用R来构建、组织和清理数据，理解数据框的运用，并讨论数据偏差问题。 4. 可视化、审美和注释：学习如何使用R生成和调试可视化，探索R和RStudio的功能以改善可视化的审美和注释。 5. 文档和报告：了解如何使用R Markdown保存和展示分析结果，掌握格式化和导出R Markdown文档的方法，包括如何嵌入R代码块。 该课程为希望在数据分析领域发展的学习者提供了一个全面的学习平台和实际操作机会。
Name:Programming and data analytics
Description:R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.
Name:Programming using RStudio
Description:Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.
Name:Working with data in R
Description:The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.
Name:More about visualizations, aesthetics, and annotations
Description:R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.
Name:Documentation and reports
Description:When you’re ready to save and present your analysis, R has different options to consider. In this part of the course, you’ll explore R Markdown, a file format for making dynamic documents with R. You’ll find out how to format and export R Markdown, including how to incorporate R code chunks in your documents.
This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Explore the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming.
