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

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R Programming A-Z™: R For Data Science With Real Exercises!, available at $109.99, has an average rating of 4.61, with 91 lectures, 5 quizzes, based on 54426 reviews, and has 271968 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is for you if you want to learn how to program in R or This course is for you if you are tired of R courses that are too complicated or This course is for you if you want to learn R by doing or This course is for you if you like exciting challenges or You WILL have homework in this course so you have to be prepared to work on it It is particularly useful for This course is for you if you want to learn how to program in R or This course is for you if you are tired of R courses that are too complicated or This course is for you if you want to learn R by doing or This course is for you if you like exciting challenges or You WILL have homework in this course so you have to be prepared to work on it.

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

Summary

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

Price: $109.99

Average Rating: 4.61

Number of Lectures: 91

Number of Quizzes: 5

Number of Published Lectures: 80

Number of Published Quizzes: 5

Number of Curriculum Items: 96

Number of Published Curriculum Objects: 85

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • 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

Who Should Attend

  • This course is for you if you want to learn how to program in R
  • This course is for you if you are tired of R courses that are too complicated
  • This course is for you if you want to learn R by doing
  • This course is for you if you like exciting challenges
  • You WILL have homework in this course so you have to be prepared to work on it

Target Audiences

  • This course is for you if you want to learn how to program in R
  • This course is for you if you are tired of R courses that are too complicated
  • This course is for you if you want to learn R by doing
  • This course is for you if you like exciting challenges
  • You WILL have homework in this course so you have to be prepared to work on it

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,

What you will learn:

  • 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

Sincerely,

Kirill Eremenko

Course Curriculum

Chapter 1: Hit The Ground Running

Lecture 1: Welcome Challenge!

Lecture 2: Welcome to the R Programming Course!

Lecture 3: Installing R and R Studio (MAC & Windows)

Lecture 4: Exercise – Get Excited!

Lecture 5: Get the Datasets here

Lecture 6: Extra Resources

Chapter 2: Core Programming Principles

Lecture 1: Welcome to this section. This is what you will learn!

Lecture 2: Types of variables

Lecture 3: Using Variables

Lecture 4: Logical Variables and Operators

Lecture 5: The "While" Loop

Lecture 6: Using the console

Lecture 7: The "For" Loop

Lecture 8: The "If" statement

Lecture 9: Section Recap

Lecture 10: HOMEWORK: Law of Large Numbers

Chapter 3: Fundamentals Of R

Lecture 1: Welcome to this section. This is what you will learn!

Lecture 2: What is a Vector?

Lecture 3: Let's create some vectors

Lecture 4: Using the [] brackets

Lecture 5: Vectorized operations

Lecture 6: The power of vectorized operations

Lecture 7: Functions in R

Lecture 8: Packages in R

Lecture 9: Section Recap

Lecture 10: HOMEWORK: Financial Statement Analysis

Chapter 4: Matrices

Lecture 1: Welcome to this section. This is what you will learn!

Lecture 2: Project Brief: Basketball Trends

Lecture 3: Matrices

Lecture 4: Building Your First Matrix

Lecture 5: Naming Dimensions

Lecture 6: Colnames() and Rownames()

Lecture 7: Matrix Operations

Lecture 8: Visualizing With Matplot()

Lecture 9: Subsetting

Lecture 10: Visualizing Subsets

Lecture 11: Creating Your First Function

Lecture 12: Basketball Insights

Lecture 13: Section Recap

Lecture 14: HOMEWORK: Basketball Free Throws

Chapter 5: Data Frames

Lecture 1: Welcome to this section. This is what you will learn!

Lecture 2: Project Brief: Demographic Analysis

Lecture 3: Importing data into R

Lecture 4: Exploring your dataset

Lecture 5: Using the $ sign

Lecture 6: Basic operations with a Data Frame

Lecture 7: Filtering a Data Frame

Lecture 8: Introduction to qplot

Lecture 9: Visualizing With Qplot: Part I

Lecture 10: Building Dataframes

Lecture 11: Merging Data Frames

Lecture 12: Visualizing With Qplot: Part II

Lecture 13: Section Recap

Lecture 14: HOMEWORK: World Trends

Chapter 6: Advanced Visualization With GGPlot2

Lecture 1: Welcome to this section. This is what you will learn!

Lecture 2: Project Brief: Movie Ratings

Lecture 3: Grammar Of Graphics – GGPlot2

Lecture 4: What is a Factor?

Lecture 5: Aesthetics

Lecture 6: Plotting With Layers

Lecture 7: Overriding Aesthetics

Lecture 8: Mapping vs Setting

Lecture 9: Histograms and Density Charts

Lecture 10: Starting Layer Tips

Lecture 11: Statistical Transformations

Lecture 12: Using Facets

Lecture 13: Coordinates

Lecture 14: Perfecting By Adding Themes

Lecture 15: Section Recap

Lecture 16: HOMEWORK: Movie Domestic % Gross

Chapter 7: Homework Solutions

Lecture 1: Homework Solution Section 2: Law Of Large Numbers

Lecture 2: Homework Solution Section 3: Financial Statement Analysis

Lecture 3: Homework Solution Section 4: Basketball Free Throws

Lecture 4: Homework Solution Section 5: World Trends

Lecture 5: Homework Solution Section 6: Movie Domestic % Gross (Part 1)

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

Lecture 7: THANK YOU Video

Chapter 8: Special Offer

Lecture 1: BoxPlots

Chapter 9: Congratulations!! Don't forget your Prize šŸ™‚

Lecture 1: Huge Congrats for completing the challenge!

Lecture 2: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Rating Distribution

  • 1 stars: 288 votes
  • 2 stars: 437 votes
  • 3 stars: 3278 votes
  • 4 stars: 17922 votes
  • 5 stars: 32501 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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