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所在平台: Udemy |
课程主页: https://www.udemy.com/course/comprcourse/
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课程名称：全面统计学与数据科学R语言课程 课程概述：该课程基于权威的在线手册《R语言入门》，由R语言核心开发团队制作。课程共分为10节，涵盖了CRAN手册中的大部分内容，主要面向用户的主题包括：1. R语言简介；输入数据 2. 数字和向量的简单操作 3. 对象及其模式和属性 4. 数组与矩阵 5. 列表和数据框 6. 编写用户定义的函数 7. 作为统计环境的R 8. 统计模型与公式；方差分析与回归 9.广义线性模型和广义加法模型 10. 使用R创建统计及其他可视化。 该课程注重实践，通过200多个视频教程教授学员如何使用R语言和R脚本创建实际的统计分析和可视化。课程提供了所有必要的软件、幻灯片、R脚本、数据集、练习及解决方案，适合初学者和希望复习R语言的有经验用户。前半部分课程适合初学者，帮助他们掌握数据输入和输出以及R环境中的主要对象和数据结构；后半部分则深入探讨使用R进行统计分析，包括方差分析、回归以及广义线性和加法模型的详细实例。此外，课程还教授如何使用R中的基础和ggplot可视化包创建优雅的统计图形。 该课程非常适合希望快速掌握R语言的定量分析专业人士，以及研究生或高校教职员工，帮助他们提高数据分析技能。
This course, The Comprehensive Statistics and Data Science with R Course, is mostly based on the authoritative documentation in the online "An Introduction to R" manual produced with each new R release by the Comprehensive R Archive Network (CRAN) development core team. These are the people who actually write, test, produce and release the R code to the general public by way of the CRAN mirrors. It is a rich and detailed 10-session course which covers much of the content in the contemporary 105-page CRAN manual. The ten sessions follow the outline in the An Introduction to R online manual and specifically instruct with respect to the following user topics: 1. Introduction to R; Inputting data into R 2. Simple manipulation of numbers and vectors 3. Objects, their modes and attributes 4. Arrays and matrices 5. Lists and data frames 6. Writing user-defined functions 7. Working with R as a statistical environment 8. Statistical models and formulae; ANOVA and regression 9. GLMs and GAMs 10. Creating statistical and other visualizations with R It is a comprehensive and decidedly "hands-on" course. You are taught how to actually use R and R script to create everything that you see on-screen in the course videos. Everything is included with the course materials: all software; slides; R scripts; data sets; exercises and solutions; in fact, everything that you see utilized in any of the 200+ course videos are included with the downloadable course materials. The course is structured for both the novice R user, as well as for the more experienced R user who seeks a refresher course in the benefits, tools and capabilities that exist in R as a software suite appropriate for statistical analysis and manipulation. The first half of the course is suited for novice R users and guides one through "hands-on" practice to master the input and output of data, as well as all of the major and important objects and data structures that are used within the R environment. The second half of the course is a detailed "hands-on" transcript for using R for statistical analysis including detailed data-driven examples of ANOVA, regression, and generalized linear and additive models. Finally, the course concludes with a multitude of "hands-on" instructional videos on how to create elegant and elaborate statistical (and other) graphics visualizations using both the base and gglot visualization packages in R. The course is very useful for any quantitative analysis professional who wishes to "come up to speed" on the use of R quickly. It would also be useful for any graduate student or college or university faculty member who also seeks to master these data analysis skills using the popular R package.
