Fundamentals of R Programming and Statistical Analysis Video Course

February 1, 2017

(This article was first published on Let's talk about science with R, and kindly contributed to R-bloggers)

Here is the link to my new course at PACKT publishing. I apologize in advance for some of their video editing choices but you will definitely learn a lot and be able to work through a variety of practical examples to meet your bioinformatic needs. I will upload the R code on GitHub and post the links to the files for all the videos in the course section of my website So be sure to stay tuned!

Here is an overview of the course available at:

Video Description

The R language is widely used among statisticians and data miners to develop statistical software and data analysis.

In this course, we’ll start by diving into the different types of R data structures and you’ll learn how the R programming language handles data. Then we’ll look in-depth at manipulating different datasets in R. After that, we’ll dive into data visualization with R, using basic plots, heat maps, and networks. We’ll explore the different flow control loops of the R programming language, and you’ll learn how to debug your code.

In the second half of the course, you’ll get hands-on working with the various statistical methods in R programming. You’ll find out how to work with different probability distributions, various types of hypothesis testing, and statistical analysis with the R programming language.

By the end of this video course, you will be well-versed in the basics of R programming and the various concepts of statistical data analysis with R.

Style and Approach

This fast-paced, practical guide is filled with real-world examples that will take you on a journey through the various concepts and phases of statistical analysis using the R programming language.

Happy R programming :0)


Fundamentals of R Programming and Statistical Analysis Video Course link


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