Learn R Quickly

Learn R Quickly, available at Free, has an average rating of 4.3, with 12 lectures, 8 quizzes, based on 182 reviews, and has 4185 subscribers.

You will learn about Learn one of the most important programming languages for Data Science and Statistics This will prepare you for my course in Programming Machine Learning Algorithms from Scratch with R Go from novice to intermediate programmer in R Get the free software you need to program in R This course is ideal for individuals who are Beginners who want to learn R and move onto learning to write your own machine learning algorithm from scratch It is particularly useful for Beginners who want to learn R and move onto learning to write your own machine learning algorithm from scratch.

Enroll now: Learn R Quickly

Summary

Title: Learn R Quickly

Price: Free

Average Rating: 4.3

Number of Lectures: 12

Number of Quizzes: 8

Number of Published Lectures: 12

Number of Published Quizzes: 8

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learn one of the most important programming languages for Data Science and Statistics
This will prepare you for my course in Programming Machine Learning Algorithms from Scratch with R
Go from novice to intermediate programmer in R
Get the free software you need to program in R

Who Should Attend

Beginners who want to learn R and move onto learning to write your own machine learning algorithm from scratch

Target Audiences

Beginners who want to learn R and move onto learning to write your own machine learning algorithm from scratch

This is a course for absolute beginners in R. No programming knowledge is assumed.

You will learn to install R and RStudio and to use RStudio Cloud -all 3 are free.

R is one of the leading programming languages for Data Science and arguably the most important language for statistical programming.

What you will learn:

1: Basic Building Blocks

2: Workspace and Files

3: Sequences of Numbers

4: Vectors

5: Missing Values

6: Subsetting Vectors

7: Matrices and Data Frames

8: Logic

9: Functions

The course should take between 4 and 8 hours. When you finish you should be confident in programming with R. The knowledge you gain will allow you to be ready to study my advanced class in programming based on my recently published textbook:

Mathematics and Programming for Machine Learning with R: From the Ground Up (available at Amazon).

However, you don’t need to continue beyond this free course to learn and become proficient in programming in R.

The instructor has taught R for many years and has written a 430 page book on using R to write important machine learning algorithms from scratch. Once you complete this current course you may want to continue to become an expert programmer by exploring this book and the associated course here at Udemy.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction Video

Lecture 1: Welcome

Chapter 3: R and RStudio is available for Windows, Mac, and Linux, and also in the cloud

Lecture 1: All major OS

Chapter 4: Install R

Lecture 1: Install R

Chapter 5: Install RStudio

Lecture 1: Install RStudio

Chapter 6: Using RStudio in the cloud

Lecture 1: Using RStudio in the cloud

Chapter 7: Console and Source

Lecture 1: Console and Source

Chapter 8: Environment panel

Lecture 1: Environment panel

Chapter 9: Files

Lecture 1: Files

Chapter 10: What is a package?

Lecture 1: What is a package?

Chapter 11: Installing packages

Lecture 1: Installing packages

Chapter 12: Using Swirl

Lecture 1: Using Swirl

Instructors

William Claster
Data Science Labs Director

Rating Distribution

1 stars: 4 votes
2 stars: 6 votes
3 stars: 24 votes
4 stars: 61 votes
5 stars: 87 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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