R Programming A-Z™: R For Data Science With Real Exercises!

About Course

Learn R programming for data science with this free course from Udemy. Master R programming with real-world examples and exercises. This course is perfect for beginners with no prior programming experience. Learn R programming basics, core principles, data structures, control flow, and how to use R Studio. You’ll learn how to create vectors, variables, matrices, and more. Enroll now and start your journey to becoming an R programming expert! This course is completely free and is part of our collection of top-rated courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and others.

Learn to program in R at a good level
Learn how to use R Studio
Learn the core principles of programming
Learn how to create vectors in R
Learn how to create variables
Learn about integer, double, logical, character and other types in R
Learn how to create a while() loop and a for() loop in R
Learn how to build and use matrices in R
Learn the matrix() function, learn rbind() and cbind()
Learn how to install packages in R
Learn how to customize R studio to suit your preferences
Understand the Law of Large Numbers
Understand the Normal distribution
Practice working with statistical data in R
Practice working with financial data in R
Practice working with sports data in R

Course Content

Hit The Ground Running

A Message from the Professor
– Welcome to the R Programming Course

05:46
– Updates on Udemy Reviews

01:09
– Installing R and R Studio MAC & Windows

07:02
– Exercise Get Excited

07:58

Core Programming Principles

– Welcome to this section This is what you will learn

01:11
– Types of variables

10:10
– Using Variables

10:23
– Logical Variables and Operators

07:42
– The While Loop

07:33
– Using the console

04:04
– The For Loop

05:30
– The If statement

12:15
– Section Recap

05:22
– HOMEWORK Law of Large Numbers

15:13

Fundamentals Of R

– Welcome to this section This is what you will learn

01:04
– What is a Vector

04:17
– Lets create some vectors

13:12
– Using the brackets

10:31
– Vectorized operations

05:49
– The power of vectorized operations

16:22
– Functions in R

17:59
– Packages in R

09:19
– Section Recap

06:19
– HOMEWORK Financial Statement Analysis

07:42

Matrices

– Welcome to this section This is what you will learn

00:52
– Project Brief Basketball Trends

09:22
– Matrices

06:30
– Building Your First Matrix

13:42
– Naming Dimensions

03:34
– Colnames and Rownames

10:02
– Matrix Operations

06:12
– Visualizing With Matplot

11:42
– Subsetting

09:20
– Visualizing Subsets

04:13
– Creating Your First Function

08:47
– Basketball Insights

12:38
– Section Recap

06:04
– HOMEWORK Basketball Free Throws

07:13

Data Frames

– Welcome to this section This is what you will learn

01:47
– Project Brief Demographic Analysis

04:17
– Importing data into R

05:52
– Exploring your dataset

10:19
– Using the sign

06:23
– Basic operations with a Data Frame

09:47
– Filtering a Data Frame

09:04
– Introduction to qplot

09:09
– Visualizing With Qplot Part I

06:22
– Building Dataframes

10:02
– Merging Data Frames

07:38
– Visualizing With Qplot Part II

06:50
– Section Recap

07:19
– HOMEWORK World Trends

06:17

Advanced Visualization With GGPlot2

– Welcome to this section This is what you will learn

01:23
– Project Brief Movie Ratings

04:03
– Grammar Of Graphics GGPlot2

11:26
– What is a Factor

07:13
– Aesthetics

06:54
– Plotting With Layers

05:18
– Overriding Aesthetics

07:49
– Mapping vs Setting

08:09
– Histograms and Density Charts

07:08
– Starting Layer Tips

08:41
– Statistical Transformations

10:38
– Using Facets

09:30
– Coordinates

10:28
– Perfecting By Adding Themes

11:04
– Section Recap

09:50
– HOMEWORK Movie Domestic Gross

07:05

Homework Solutions

Bonus Tutorials

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

Student Ratings & Reviews

5.0

Total 1 Rating

1 Rating

0 Rating

Haris Ali

8 months ago

Best experience know much about c++ basics to adv in flow .Know about sheet how to create diff projects .Damn it was so good.

About Course

What Will You Learn?

Course Content

Hit The Ground Running

A Message from the Professor

– Welcome to the R Programming Course

– Updates on Udemy Reviews

– Installing R and R Studio MAC & Windows

– Exercise Get Excited

Core Programming Principles

– Welcome to this section This is what you will learn

– Types of variables

– Using Variables

– Logical Variables and Operators

– The While Loop

– Using the console

– The For Loop

– The If statement

– Section Recap

– HOMEWORK Law of Large Numbers

Fundamentals Of R

– Welcome to this section This is what you will learn

– What is a Vector

– Lets create some vectors

– Using the brackets

– Vectorized operations

– The power of vectorized operations

– Functions in R

– Packages in R

– Section Recap

– HOMEWORK Financial Statement Analysis

Matrices

– Welcome to this section This is what you will learn

– Project Brief Basketball Trends

– Matrices

– Building Your First Matrix

– Naming Dimensions

– Colnames and Rownames

– Matrix Operations

– Visualizing With Matplot

– Subsetting

– Visualizing Subsets

– Creating Your First Function

– Basketball Insights

– Section Recap

– HOMEWORK Basketball Free Throws

Data Frames

– Welcome to this section This is what you will learn

– Project Brief Demographic Analysis

– Importing data into R

– Exploring your dataset

– Using the sign

– Basic operations with a Data Frame

– Filtering a Data Frame

– Introduction to qplot

– Visualizing With Qplot Part I

– Building Dataframes

– Merging Data Frames

– Visualizing With Qplot Part II

– Section Recap

– HOMEWORK World Trends

Advanced Visualization With GGPlot2

– Welcome to this section This is what you will learn

– Project Brief Movie Ratings

– Grammar Of Graphics GGPlot2

– What is a Factor

– Aesthetics

– Plotting With Layers

– Overriding Aesthetics

– Mapping vs Setting

– Histograms and Density Charts

– Starting Layer Tips

– Statistical Transformations

– Using Facets

– Coordinates

– Perfecting By Adding Themes

– Section Recap

– HOMEWORK Movie Domestic Gross

Homework Solutions

– Homework Solution Section 2 Law Of Large Numbers