Quick dive into R

A general overview of R
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  • Lectures 16
  • Length 1 hour
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 2/2016 English

Course Description

This is a course for people who want a quick introduction into the world of R, without getting into too much detail. This course is ideal for

  1. complete beginners to R
  2. business professionals who want a quick overview of R
  3. Anyone new to R, who is considering using R as the standard statistical tool in their organization

After the course you will be able to do the following:

  1. install R
  2. programming in R
  3. multiple regression in R
  4. perform visualization in R
  5. and much more!

Finally, you will have a good idea of R and its capabilities. The course is taught in a lecture and tutorial style format. In a very a short time the course should take you from being a complete beginner in R to someone with a solid foundation to continue his/her journey with R, knowing how to get help, as well as a good idea of the capabilities that R can provide for its users as well as organizations across the spectrum.

In order to take this course you will need to have laptop or a desktop with a windows/mac/or linux installed

What am I going to get from this course?

  • install R
  • perform multiple regression in R
  • program in R
  • perform visualization in R

Who is the target audience?

  • Beginners to R
  • organization looking to change to R as their statistical package
  • anyone who wants a quick overview of R

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction

This is your Udemy instructor welcoming you to the course.


Introduction to course and scope of the course


What is R? and why should you use it?


How do you install R and what to do when you encounter problems and need help.


A tutorial showing how to install R

Section 2: Statistics

What is multiple regression and how do we perform it in R


A tutorial on multiple regression in R


Statistical distributions in R


A tutorial on using the normal distribution in R

Section 3: Programming

Programming in R with the if/else and while statements


tutorial on the if/else and while statements

Section 4: Visualization

Examples of visualizations you can do in R


Tutorial on plotting a scatter plot


tutorial on bar plots in R


tutorial on a Bland Altman plot in R

Section 5: Conclusion

What are the main takeaways from this course? and frequently asked questions (FAQs)

Final Quiz
4 questions

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Instructor Biography

Hassan Sirelkhatim, Data Scientist

I graduated from the University of Copenhagen in Insurance Mathematics (BSc) and a Masters in Bioinformatics. Furthermore, I am working as a data scientist in a startup called Arimon Consulting. I have a strong background in mathematics, statistics and programming. My skills range from using R, as well as programming in python. My passion is mathematics, and i am specially interested in differential equations.

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