Master the Basics of R Programming from Scratch

Description

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.

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