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
After the course you will be able to do the following:
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
How do you install R and what to do when you encounter problems and need help.
A tutorial showing how to install R
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
Programming in R with the if/else and while statements
tutorial on the if/else and while statements
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
What are the main takeaways from this course? and frequently asked questions (FAQs)
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.