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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-r-programming-learn-r-syntax-by-example/
课程评论：没有评论
课程名称：从零开始的R编程速成课 课程概述：本课程帮助学生学习R语言的语法，包括数据和元数据的导入、输入和查看，进行频率分布分析和单变量分析，创建派生变量，合并和追加数据集，排序和筛选数据集，以及学习如何对变量进行子串操作，进行交叉表分析和线性回归分析。课程提供10个实践案例研究，涵盖与课程相关的术语、R语法、数据挖掘、分析和机器学习。 课程时长：约4小时，用于理解概念。 课程结构： - 第一部分：介绍如何获取R和R Studio，理解工作环境和数据 - 第二部分：通过实例解释R语法 - 第三部分：解释一些其他工作所需的语法 - 第四部分：实践案例研究，将所学知识应用于解决商业问题 本课程包括10个练习，旨在帮助学员从工业应用的角度掌握R编程的概念。学生应尝试自行完成这些练习，然后再查看提供的解决方案。 选择这门课程的理由：本课程以简化的方式确保快速学习，解释了在数据工作和分析过程中最重要的方面，通过实例进行讲解。
What is this course about? This course helps student learn R syntax for Import / Enter / Viewing data and metadata in RConduct Frequency Distribution Analysis / Univariate Analysis in RCreate derived variablesMerge / Append data setsSort / Subset data setsLearn to substring variablesCreate cross tab analysisconduct Linear Regression analysis10 Practice case studies Terminology associated with the course R syntaxData MiningAnalyticsMachine Learning Material for the course 20 HD VideosExcel Data setsPDF of presentationR code How long the course should take? Approximately 4 hours to internalize the concepts How is the course structures Section 1 - explains how to get R, R Studio, Understand environment and data for workout Section 2 - explains the R syntax through examples Section 3 - explains some other syntax needed for working Section 4 - Practice Case Studies - apply your knowledge to solve business problemsThere are 10 workouts included in the course, which will help users to master the concepts of R programming from industrial usage perspective. Students should try these practices on their own before jumping to solution provided. Why take this course? This course ensures quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.
