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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-r-programming-from-scratch-g/
课程评论：没有评论
**课程名称：** 从零开始学习R语言编程 **课程概述：** 本课程旨在教授学员R语言编程技能，从基础概念到实际应用。R语言专门针对复杂的数学计算、大规模数据集洞察提取以及可视化图表绘制进行了优化，是数据科学、数据分析和商业智能领域中最广泛使用的语言之一。 **学习目标：** * 掌握R语言的基础知识，包括数据类型、变量、字符串函数、布尔值和各类运算符（算术、赋值、比较、逻辑、杂项）。 * 学习R语言的控制语句（if-else、switch case、if-else ladder、nested if）和循环（for、while、repeat、break、next）。 * 了解如何创建函数、设置参数和参数。 * 熟悉R语言中的数据结构，如向量（Vector）、列表（List）、数组（Array）和矩阵（Matrix）。 * 掌握使用R语言进行数据可视化，包括绘制折线图、条形图、散点图、饼图和直方图。 * 学习R语言在统计分析中的应用，掌握常用统计函数（max、min、mean、median、mode），并通过mtcars数据集进行实践。 **为何学习R语言？** * R语言是数据分析师和数据科学家进行数据存储、数据分析、定制化仪表板和数据可视化等任务的有力工具。 * 相比C、C++、Java、Python、.NET等语言，R语言具有更易于理解的语法。 * 掌握R语言编程技能将显著提升简历价值，并有助于获得理想的职业机会。 **适合人群：** * 绝对的编程初学者。 * 已有Python或R使用经验，希望将技能提升至专业水平的学习者。
Welcome to this course on R programming, where you will learn to write code in R by implementing various concepts. As you might already be aware that R is not like general purpose programming languages, but optimized specifically to do complex mathematical tasks, finding insights from huge dataset and plotting the insights in form of Visualization charts. These capabilities make R, the most widely used language when it comes to Data Science, Data Analysis and Business Intelligence.This course would teach you everything in R programming right from the scratch, so don't worry if you an absolute beginner. Moreover, if you have already used python or R previously, this course would take your skillset to the professional levels.Why learn R?It helps Data Analysts and Data Scientists perform many data-related tasks, such as data storage and data analysis, and can be used to create customized dashboards and data visualizations. R is a high level language that has easier syntax as compared to other programming languages such as C, C++, Java, python, dot net. If you are skilled in R programming, it will add a significant value on your Resume and could help you get an aspirational career opportunity.Here in this course you would learn various concepts in R with practical examples such as-Fundamentals of RDatatypes and VariablesString functionsBooleanOperators in R- Arithmetic, Assignment, Comparison, Logical, MiscellaneousControl statements- if else, switch case, if else ladder and nested ifLoop- for, while, repeat, break, next, nestedCreating functions, parameters and argumentsData Structures in RVector and ListArrays and MatrixData Visualization in R- PlotLine, Bar, Scatterplot, Pie charts, histogramStatistics in R with mtcarsStatistical functions- max, min, mean, median, mode
