R Programming – R Programming Language Beginners to Pro

R Programming – R Programming Language Beginners to Pro, available at $54.99, has an average rating of 3.98, with 42 lectures, based on 28 reviews, and has 11006 subscribers.

You will learn about Understanding R Programming Language Learn Fundamentals of R Programming R Data Structures R Statistical Analysis Plotting Data Using in R Develop Your Own Functions Analyzing Real Datasets R Graphics This course is ideal for individuals who are Anyone Can Want To Learn R Programming Language or Data Analysts or Data Engineers or Statisticians or Software Engineering It is particularly useful for Anyone Can Want To Learn R Programming Language or Data Analysts or Data Engineers or Statisticians or Software Engineering.

Enroll now: R Programming – R Programming Language Beginners to Pro

Summary

Title: R Programming – R Programming Language Beginners to Pro

Price: $54.99

Average Rating: 3.98

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understanding R Programming Language
Learn Fundamentals of R Programming
R Data Structures
R Statistical Analysis
Plotting Data Using in R
Develop Your Own Functions
Analyzing Real Datasets
R Graphics

Who Should Attend

Anyone Can Want To Learn R Programming Language
Data Analysts
Data Engineers
Statisticians
Software Engineering

Target Audiences

Anyone Can Want To Learn R Programming Language
Data Analysts
Data Engineers
Statisticians
Software Engineering

Welcome to the R Programming – R Programming Language Beginners to Pro course! Whether you’re a complete novice or an experienced programmer looking to expand your skills, this comprehensive course is designed to take you from beginner to proficient user in R programming.

Dive into the fundamental syntax of R programming, including variables, data types (numeric, character, logical), vectors, and basic operations. Learn how to write and execute R code in the RStudio console. Explore R’s essential data structures, including vectors, matrices, arrays, lists, and data frames. Understand how to create, manipulate, and access elements in each data structure.

R is a powerful and versatile programming language widely used for statistical computing, data analysis, and visualization. In this course, you’ll learn everything you need to know to harness the full potential of R, from basic concepts to advanced techniques.

Here’s an overview of what you can expect to learn:

Comments
Concatenate Elements
Data Types
Math
Strings
Escape Characters
Booleans or Logical Values
Operators
Nested If
AND OR Operators
For Loop
Nested Loops
Functions
Recursion
Lists
Matrices
Arrays
Data Frames
Factors
Line
Scatter Plot
Bar Charts
Introduction of Statistics
Data Set
Max and Min
Mean
Median
Mode

End of this course, you’ll have the skills and confidence to tackle data analysis, visualization, and statistical modeling tasks using R, positioning yourself as a proficient R programmer. Join us on this exciting journey into the world of R programming, and let’s unlock the full potential of data with R together!

Course Curriculum

Chapter 1: Get Started With R Programming Language

Lecture 1: Syntax

Lecture 2: Print Output

Lecture 3: Comments

Lecture 4: Variables

Lecture 5: Multiple Variables

Lecture 6: Variable Names

Lecture 7: Concatenate Elements

Lecture 8: Data Types

Lecture 9: Numbers

Lecture 10: Math

Lecture 11: Strings

Lecture 12: Escape Characters

Lecture 13: Booleans or Logical Values

Lecture 14: Operators

Lecture 15: If … Else

Lecture 16: Nested If

Lecture 17: AND OR Operators

Lecture 18: While Loop

Lecture 19: For Loop

Lecture 20: Nested Loops

Lecture 21: Functions

Lecture 22: Nested Functions

Lecture 23: Recursion

Lecture 24: Global Variables

Chapter 2: R Data Structures

Lecture 1: Vectors

Lecture 2: Lists

Lecture 3: Matrices

Lecture 4: Arrays

Lecture 5: Data Frames

Lecture 6: Factors

Chapter 3: R Graphics

Lecture 1: Plotting

Lecture 2: Line

Lecture 3: Scatter Plot

Lecture 4: Pie Charts

Lecture 5: Bar Charts

Chapter 4: R Statistics

Lecture 1: Introduction of Statistics

Lecture 2: Data Set

Lecture 3: Max and Min

Lecture 4: Mean

Lecture 5: Median

Lecture 6: Mode

Lecture 7: Percentiles

Instructors

Knowledge Nest
Web Developer | Instructor at Udemy

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 7 votes
5 stars: 14 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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