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

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can’t wait to see you in class,

Sincerely,

Kirill Eremenko

1

Welcome to the R Programming Course!

2

Updates on Udemy Reviews

3

Installing R and R Studio (MAC & Windows)

4

BONUS: Learning Paths

5

Exercise - Get Excited!

6

Get the materials

7

Some Additional Resources!!

8

BONUS: Interview with Hadley Wickham

9

Your Shortcut To Becoming A Better Data Scientist!

1

Welcome to this section. This is what you will learn!

2

Types of variables

3

Using Variables

4

Logical Variables and Operators

5

The "While" Loop

6

Using the console

7

The "For" Loop

8

The "If" statement

9

Section Recap

10

HOMEWORK: Law of Large Numbers

11

Core Programming Principles

1

Welcome to this section. This is what you will learn!

2

What is a Vector?

3

Let's create some vectors

4

Using the [] brackets

5

Vectorized operations

6

The power of vectorized operations

7

Functions in R

8

Packages in R

9

Section Recap

10

HOMEWORK: Financial Statement Analysis

11

Fundamentals of R

1

Welcome to this section. This is what you will learn!

2

Project Brief: Basketball Trends

3

Matrices

4

Building Your First Matrix

5

Naming Dimensions

6

Colnames() and Rownames()

7

Matrix Operations

8

Visualizing With Matplot()

9

Subsetting

10

Visualizing Subsets

11

Creating Your First Function

12

Basketball Insights

13

Section Recap

14

HOMEWORK: Basketball Free Throws

15

Matrices

1

Welcome to this section. This is what you will learn!

2

Project Brief: Demographic Analysis

3

Importing data into R

4

Exploring your dataset

5

Using the $ sign

6

Basic operations with a Data Frame

7

Filtering a Data Frame

8

Introduction to qplot

9

Visualizing With Qplot: Part I

10

Building Dataframes

11

Merging Data Frames

12

Visualizing With Qplot: Part II

13

Section Recap

14

HOMEWORK: World Trends

15

Data Frames

1

Welcome to this section. This is what you will learn!

2

Project Brief: Movie Ratings

3

Grammar Of Graphics - GGPlot2

4

What is a Factor?

5

Aesthetics

6

Plotting With Layers

7

Overriding Aesthetics

8

Mapping vs Setting

9

Histograms and Density Charts

10

Starting Layer Tips

11

Statistical Transformations

12

Using Facets

13

Coordinates

14

Perfecting By Adding Themes

15

Section Recap

16

HOMEWORK: Movie Domestic % Gross

17

Advanced Visualization With GGPlot2

1

Homework Solution Section 2: Law Of Large Numbers

2

Homework Solution Section 3: Financial Statement Analysis

3

Homework Solution Section 4: Basketball Free Throws

4

Homework Solution Section 5: World Trends

5

Homework Solution Section 6: Movie Domestic % Gross (Part 1)

6

Homework Solution Section 6: Movie Domestic % Gross (Part 2)

7

THANK YOU bonus video

1

BoxPlots

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**YOUR SPECIAL BONUS**

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

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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