Quick dive into R
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Quick dive into R

A general overview of R
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
11 students enrolled
Last updated 2/2016
English
Current price: $10 Original price: $20 Discount: 50% off
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30-Day Money-Back Guarantee
Includes:
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • install R
  • perform multiple regression in R
  • program in R
  • perform visualization in R
View Curriculum
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

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
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Curriculum For This Course
Expand All 16 Lectures Collapse All 16 Lectures 01:04:07
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Introduction
5 Lectures 13:05

This is your Udemy instructor welcoming you to the course.

Preview 00:49

Introduction to course and scope of the course

Preview 04:26

What is R? and why should you use it?

Preview 02:43

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

Preview 02:45

A tutorial showing how to install R

Installing R
02:22
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Statistics
4 Lectures 26:31

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

Multiple Regression
09:10

A tutorial on multiple regression in R

Multiple Regression
11:08

Statistical distributions in R

Statistical distributions
01:03

A tutorial on using the normal distribution in R

Normal Distribution
05:10
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Programming
2 Lectures 07:05

Programming in R with the if/else and while statements

Programming
02:07

tutorial on the if/else and while statements

Programming
04:58
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Visualization
4 Lectures 12:53

Examples of visualizations you can do in R

Visualization
03:34

Tutorial on plotting a scatter plot

Plotting
03:44

tutorial on bar plots in R

Bar Plot
01:57

tutorial on a Bland Altman plot in R

Bland Altman Plot
03:38
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Conclusion
1 Lecture 04:33

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

Lessons learned and FAQs
04:33

Final Quiz
4 questions
About the Instructor
Hassan Sirelkhatim
0.0 Average rating
0 Reviews
11 Students
1 Course
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.