2024 R Programming Bootcamp for Absolute Beginners

2024 R Programming Bootcamp for Absolute Beginners, available at $49.99, has an average rating of 4.16, with 24 lectures, based on 276 reviews, and has 37487 subscribers.

You will learn about Basics of R Programming Data Structures in R Create your own functions that will enable you to reutilize code. Do interesting graph plotting This course is ideal for individuals who are Business Analysts or Data Analysts or Financial Managers or Statisticians or R learners or Data Scientists or Data Engineers or Entry-level Data Scientists or Software Engineering Undergraduates or Graduate Students It is particularly useful for Business Analysts or Data Analysts or Financial Managers or Statisticians or R learners or Data Scientists or Data Engineers or Entry-level Data Scientists or Software Engineering Undergraduates or Graduate Students.

Enroll now: 2024 R Programming Bootcamp for Absolute Beginners

Summary

Title: 2024 R Programming Bootcamp for Absolute Beginners

Price: $49.99

Average Rating: 4.16

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of R Programming

Data Structures in R

Create your own functions that will enable you to reutilize code.

Do interesting graph plotting

Who Should Attend

Business Analysts

Data Analysts

Financial Managers

Statisticians

R learners

Data Scientists

Data Engineers

Entry-level Data Scientists

Software Engineering Undergraduates

Graduate Students

Target Audiences

Business Analysts

Data Analysts

Financial Managers

Statisticians

R learners

Data Scientists

Data Engineers

Entry-level Data Scientists

Software Engineering Undergraduates

Graduate Students

So, you’ve decided that you want to learn Ror you want to get familiar with it, but don’t know where to start? Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programming?

Then, this course was designed just for Absolute Beginners in R!!

This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:

1. Basics of R

2. Control Statements in R

3. Functions in R

4. Data Structures in R

5. Plotting Graphs in R

6. Assignments in R

This course was designed to be focused on the practical side of coding in R – instead of teaching you every function and method out there, I’ll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.

At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.

Here are some examples of things you will be able to do after finishing the course:

Do interesting line plotsthat enable you to draw conclusions from data.

Plot histograms of numerical data.

Create your own functionsthat will enable you to reutilize code.

Data Structures in R

Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language. This course will be constantly updated based on the student’s feedback.

Course Curriculum

Chapter 1: Basics of R Programming

Lecture 1: Instructors Note

Lecture 2: Installing R Programming IDE

Lecture 3: Variables

Lecture 4: Data Types

Lecture 5: Numbers and Math

Lecture 6: Switching to online IDE

Chapter 2: Control statements in R

Lecture 1: if statement in R

Lecture 2: if-else statement in R

Lecture 3: else if statement in R

Lecture 4: While Loop in R

Lecture 5: Break statement

Lecture 6: Next statement

Lecture 7: For Loop in R

Chapter 3: Functions in R

Lecture 1: Creating and calling functions

Lecture 2: Function with Return values

Lecture 3: Nested Functions

Lecture 4: Recursion

Chapter 4: Data structures in R

Lecture 1: Vectors

Lecture 2: Lists

Chapter 5: Plotting Graphs in R

Lecture 1: R Plot

Lecture 2: R Line

Lecture 3: R Pie Charts

Lecture 4: R Bars

Chapter 6: Assignments in R

Chapter 7: Bonus Lecture

Lecture 1: Bonus Lecture

Instructors

Toppers Bootcamp
Udemys Best Instructors

Rating Distribution

1 stars: 4 votes

2 stars: 9 votes

3 stars: 31 votes

4 stars: 89 votes

5 stars: 138 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!