Learn R from Scratch

This course offers the best way to learn R programming, starting with the basics and progressing to more advanced concepts.

Beginner

84 Lessons

10h

Certificate of Completion

This course offers the best way to learn R programming, starting with the basics and progressing to more advanced concepts.

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Explanations

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Explanations

This course includes

151 Playgrounds

20 Challenges

8 Quizzes

This course includes

151 Playgrounds

20 Challenges

8 Quizzes

Course Overview

The digital world we live in has given companies and people access to staggering amounts of data, and anyone that can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries. Enter R, probably the most well-known language for data analysis. It's been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages....Show More

TAKEAWAY SKILLS

Programming Language

Learn To Code

Course Content

Getting Started

This chapter introduces R, a powerful language for statistical analysis, ideal for beginners to learn data science fundamentals.

Why R?

Who Should Take This Course?

Hello World

Variables

This chapter introduces R variables, covering data types, string operations, and essential functions for handling these elements.

Data Types

Basic Methods for Handling Variables

Exercise 1: Variables

Solution Review: Variables

All About Strings

Difference Between print() and cat()

Exercise 2: Strings

Solution Review: Strings

Test Your Knowledge 1

Exploring R Objects

This chapter focuses on R's essential data structures, including vectors, lists, arrays, matrices, data frames, and factors, emphasizing applications.

Vectors

Lists

Exercise 3: Vectors and Lists

Solution Review: Vectors and Lists

Arrays

Matrices

Exercise 4: Arrays and Matrices

Solution Review: Arrays and Matrices

Data Frames

Exercise 5: Data Frames

Solution Review: Data Frames

Factors

Test Your Knowledge 2

R Operators and Notation

This chapter explores R operators, covering arithmetic, relational, and logical operators, their functionalities, and application through exercises and quizzes.

Arithmetic Operators

Exercise 6: Arithmetic Operators

Solution Review: Arithmetic Operators

Relational Operators

Logical Operators

Exercise 7: Relational and Logical Operators

Solution Review: Relational and Logical Operators

Test Your Knowledge 3

Conditional Statements

This chapter emphasizes the importance of conditional statements in R programming, covering if, else, ifelse, and switch constructs for decision-making.

if Statements

if...else Statements

Exercise 8: if/else Statements

Solution Review: if/else Statements

R ifelse()

Exercise 9: ifelse()

Solution Review: ifelse()

switch Statements

Test Your Knowledge 4

Loops

9 Lessons

This chapter emphasizes the use of loops in R, explaining the variants like while, for, and repeat loops for efficient code execution.

Functions

11 Lessons

This chapter explores function creation, returning values, nesting, and recursion in R, enhancing modularity and problem-solving through coding practices.

Input/Output

8 Lessons

This chapter explores data input and output in R, detailing user input through keyboard, text and CSV file, and practical exercises for skill enhancement.

Exception Handling

6 Lessons

This chapter emphasizes strategies for managing errors in R, enhancing code robustness through exception handling techniques and practical exercises.

10.

Classes

1 Lesson

This chapter covers classes and objects in R, with distinct types such as S3 and S4, impacting their attributes and methods.

11.

Fun Challenges

6 Lessons

This chapter set up various coding challenges in R for hands-on programming practice.

12.

Conclusion

1 Lesson

This chapter guides on the importance of external packages for advanced R programming, it teaches how to install and load them in code.

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