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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/codio-data-analysis-in-r-with-rstudio-and-tidyverse
课程评论：没有评论
课程名称：R语言与RStudio及Tidyverse的数据分析 课程概述：本课程旨在帮助没有编码经验的学习者在几分钟内编写并运行第一个R程序，而无需任何安装。课程涵盖了数据分析的基础知识，包括描述性统计、数据导入及处理，以及使用统计检验比较不同人群和描述数据之间的关系。课程中采用行业标准的集成开发环境（IDE）RStudio进行R语言示例演示。 为了提供真正的实操和自主学习体验，本课程不包含视频内容。作业包含简短的说明、图像和可运行的代码示例，并提供建议的编辑，帮助学员进一步探索代码示例，深化理解。学员将在学习过程中获得即时反馈，逐步完成从快速理解检查（选择题、填空和代码块重组）到小型、易于接受的编码练习（只需几分钟而非数小时）的任务。课程最后的综合实验将为学员提供将所学概念应用于真实世界情境的机会。 课程大纲： 1. 描述数值数据集：创建并存储变量数据，同时应用函数。 2. 导入与描述混合数据集：导入、提取数据并使用内置函数。 3. 使用统计检验比较人群：使用统计检验比较不同人群或组之间的数据。 4. 使用统计检验描述关系：使用统计检验描述数据集之间是否存在关系。 5. R数据分析实验：导入、提取并对数据集进行计算。
Name:Describing a Numerical Data Set
Description:Create and store data in variables as well as apply functions on them.
Name:Importing and Describing Mixed Data Sets
Description:Import, extract, and use built-in functions on a data set(s).
Name:Using Statistical Tests to Compare Populations
Description:Use statistical tests to compare data between different populations or groups or among the same.
Name:Using Statistical Tests to Describe Relationships
Description:Use statistical tests to describe if a relationship exists between data sets or not.
Name:R Data Analysis Lab
Description:Import, extract, and perform calculations on a data set.
Code and run your first R program in minutes without installing anything! This course is designed for learners with no prior coding experience, providing foundational knowledge of data analysis in R. The modules in this course cover descriptive statistics, importing and wrangling data, and using statistical tests to compare populations and describe relationships. This course presents examples in R using the industry-standard Integrated Development Environment (IDE) RStudio. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.
