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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-the-basics-of-r-programming-from-scratch/
课程评论：没有评论
课程名称：从零开始掌握R编程基础 课程概述：该全面的R编程基础课程旨在为学习者提供使用R编程语言的坚实基础。无论您是编程新手还是希望扩展知识，这个课程涵盖了数据处理、数学运算、字符串操作和控制流等基本主题，以帮助您掌握必要的技能。 模块1：R介绍 - R数据类型：学习R中的不同数据类型，包括数值型、字符型、逻辑型和因子，掌握有效使用它们的方法。 - R数字与数学：探索数值运算、数学函数以及如何在R中处理数学表达式。 模块2：字符串与转义字符 - R字符串：掌握字符串的操作与连接、字符串函数及正则表达式的使用。 - R转义字符：了解如何使用转义字符在字符串中包含特殊字符。 模块3：布尔值与逻辑值 - R布尔值/逻辑值：发现如何使用逻辑运算符和逻辑表达式来做决策和控制程序流。 - R运算符：探索算术、关系、逻辑及赋值运算符。 模块4：条件语句与循环 - R If.Else：学习如何使用条件语句根据特定条件执行代码块。 - R嵌套If：理解嵌套条件语句的概念以实现更复杂的决策。 - R与/或运算符：探索“与”和“或”逻辑运算符以组合多个条件。 模块5：R中的循环 - R While循环：掌握使用while循环进行迭代任务和条件控制重复。 - R For循环：学习如何使用for循环遍历序列并执行重复操作。 - R嵌套循环：理解用于更复杂循环任务的嵌套循环实现。 模块6：函数与递归 - R函数：发现如何创建和调用函数以模块化代码并提高可重用性。 - R嵌套函数：学习嵌套函数的概念以改善代码组织。 - R函数递归：探索递归函数及其在解决复杂问题中的作用。 模块7：R中的作用域与数据结构 - R全局变量：理解作用域的概念，管理R中的全局变量和局部变量。 - R向量：学习向量及其向量化操作以实现高效的数据处理。 - R列表：发现列表在处理异构数据结构和执行复杂数据操作中的强大功能。 - R矩阵：理解如何使用矩阵进行高级数学运算。 - R数组：探索数组的概念及其在多维数据存储和处理中的作用。 模块8：在R中处理数据 - R数据框：学习如何创建、操作和分析数据框，以进行结构化数据处理。 - R因子：理解因子的概念及其在分类数据表示和分析中的重要性。 通过本课程的学习，您将全面掌握R的核心概念，并熟练运用其多种功能解决现实世界中的数据分析和处理挑战。无论您希望追求数据科学、研究还是编程的职业，这门课程都是提升您R编程技能、开启新机会的绝佳起点。
Course Description:The Comprehensive R Programming Fundamentals course is designed to provide a solid foundation in using the R programming language. Whether you are new to programming or looking to expand your knowledge, this course covers essential topics to equip you with the necessary skills to manipulate data, perform mathematical operations, work with strings, and control flow in R.Module 1: Introduction to R- R Data Types: Learn about the different data types in R, including numeric, character, logical, and factors, and how to work with them effectively.- R Numbers and Math: Explore numeric operations, mathematical functions, and handling mathematical expressions in R.Module 2: Strings and Escape Characters- R Strings: Master the manipulation and concatenation of strings, string functions, and regular expressions in R.- R Escape Characters: Understand how to use escape characters to include special characters in strings.Module 3: Booleans and Logical Values- R Booleans / Logical Values: Discover how to work with logical operators and logical expressions to make decisions and control program flow in R.- R Operators: Explore arithmetic, relational, logical, and assignment operators in R.Module 4: Conditional Statements and Loops- R If.Else: Learn how to use conditional statements to execute code blocks based on specific conditions.- R Nested If: Understand the concept of nesting conditional statements for more complex decision-making.- R - AND/OR Operators: Explore the logical operators "AND" and "OR" to combine multiple conditions.Module 5: Loops in R- R While Loop: Master the use of while loops for iterative tasks and condition-controlled repetitions.- R For Loop: Learn how to work with for loops to iterate over sequences and perform repetitive operations.- R Nested Loops: Understand the implementation of nested loops for more intricate looping tasks.Module 6: Functions and Recursion- R Functions: Discover how to create and call functions to modularize code and improve reusability.- R Nested Functions: Learn about nesting functions within functions for improved code organization.- R Function Recursion: Explore recursive functions and their role in solving complex problems.Module 7: Scope and Data Structures in R- R Global Variables: Understand the concept of scope and manage global and local variables in R.- R Vectors: Learn about vectors and vectorized operations for efficient data manipulation.- R Lists: Discover the power of lists to handle heterogeneous data structures and perform complex data operations.- R Matrices: Understand how to work with matrices for advanced mathematical operations.- R Arrays: Explore the concept of arrays and their role in multi-dimensional data storage and manipulation.Module 8: Working with Data in R- R Data Frames: Learn how to create, manipulate, and analyze data frames for structured data handling.- R Factors: Understand factors and their significance in categorical data representation and analysis.By the end of this comprehensive R programming course, you will have gained a thorough understanding of R's core concepts and be proficient in utilizing its diverse functionalities to solve real-world data analysis and manipulation challenges. Whether you aspire to pursue a career in data science, research, or programming, this course is an excellent starting point to enhance your R programming skills and open doors to new opportunities.
