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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-programming-for-beginners-and-newbies/
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课程名称：R编程与数据科学及机器学习 课程概述：欢迎参加由Uplatz提供的R编程初学者课程。R是一种常用于数学计算和图形展示的编程语言，用于分析和可视化数据。R软件环境为分析数字数据和图形表现提供了支持。R编程语言的名字来源于两位创始人Robert Gentleman和Ross Ihaka的名字首字母。 课程内容包括对R的全面理解，涵盖主题如：R语言介绍、特性、安装、RStudio IDE、变量、数据类型、运算符、条件语句、向量、数据处理、图形展示和统计建模等。R不仅支持分支和循环，还允许使用函数进行模块化编程。 R与C、C++、.NET、Python及FORTRAN等语言的程序集成，提高了其效率。R是研究人员、数据分析师、统计学家和市场营销人员进行数据获取、清洗、分析、可视化和展示的重要工具。R可在Linux、MacOS和Windows平台上使用，R的二元和逻辑运算符对于程序员来说十分熟悉。R能够进行多种经典统计测试，并能执行分类分析，如主成分分析和聚类分析。 使用R可以绘制多种类型的图形，包括箱形图、直方图、密度曲线、散点图、折线图和条形图等。 课程大纲： - R语言介绍 - R安装 - R数据结构 - R数据类型 - R包 - 使用R进行简易计算器 - R中的条件语句 - R中的循环 - R中的重复语句 - N个自然数的和 - 递归和求和 - R的开关语句 - 数据预处理 - R中的函数 - R中的因子 - R中的数据框 - 数据重塑 - R内置数学函数 - R中的熔化与铸造 该课程旨在帮助初学者掌握R语言的基础知识及应用，适合所有希望深入数据科学与机器学习领域的学习者。
A warm welcome to the R Programming for Beginners course by Uplatz.R is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which is used to analyze numerical data and graphical representation. R lets us to do sectional programming using functions. R programming language was named R, founded on the first name letter of the two authors - Robert Gentleman and Ross Ihaka. An overall understanding of R should cover topics such as introduction, features, installation, RStudio ide, variables, datatypes, operators, if statement, vector, data handing, graphics, statistical modelling, etc. R not only allows us to do branching and looping but also allows to do modular programming using functions. R allows integration with the procedures written in the C, C++,.NET, Python, and FORTRAN languages to improve efficiency.R is one of the most significant instrument which is used by investigators, data analyst, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data. R is available for Linux, MacOS, and Windows. R's binary and logical operators will look very acquainted to programmers. R can be used to compute a large variety of classical statistic tests. With R, it's also possible to perform classification analysis such as Principal component analysis and clustering. Many types of graphs can be drawn using R, including, box plot, histogram, density curve, scatter plot, line plot, bar plot, etc.R Programming for Beginners - Course SyllabusIntroduction to R LanguageR InstallationR Data StructuresR Data TypesR PackagesSimple Calculator using RR as a CalculatorCondition Statements in RLooping in RRepeat Statement in RSum of N Natural NumbersSum RecursionSwitch Statement in RData Pre-processingFunctions in RFactors in RData frames in RData ReshapingR Math built-in FunctionsMelting and Casting in R
