Quick dive into R by Hassan Sirelkhatim

Udemy course Quick dive into R by Hassan Sirelkhatim

Quick dive into R is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the IT & Software category. Therefore, if you are looking to improve your IT & Software skills we recommend that you download Quick dive into R udemy course.

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Course data:

  • Author: Hassan Sirelkhatim
  • Course rating: 3.8
  • Category: IT & Software
  • Modality: Online
  • Status: Available
  • Idiom: English

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Abouth Hassan Sirelkhatim

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.

Quick dive into R

What the udemy Quick dive into R course teaches?

What you’ll learn install R perform multiple regression in R program in R perform visualization in R

A general overview of R

More information about the course Quick dive into R

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 complete beginners to R business professionals who want a quick overview of R 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: install R programming in R multiple regression in R perform visualization in R 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

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