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

Courses » Development » Data Science » R » 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!

##### Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

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## Top R courses:

## Detailed Analysis

## CourseMarks Score®

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## Freshness Score

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**on Udemy.**

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

## Table of contents

## Description

#### 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

✓ 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

#### Requirements

#### This course is for

• 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

#### How much does the R Programming A-Z™: R For Data Science With Real Exercises! course cost? Is it worth it?

**on Udemy.**

#### Does the R Programming A-Z™: R For Data Science With Real Exercises! course have a money back guarantee or refund policy?

#### Are there any SCHOLARSHIPS for this course?

#### Who is the instructor? Is Kirill Eremenko a SCAM or a TRUSTED instructor?

Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

## 9.8

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