Fundamentals of R Programming and Statistical Analysis [Video]

More Information
  • Work with different data structures such as vectors, lists, attributes, arrays, and matrices
  • Visualize data using basic and advanced plotting techniques and images
  • Control program flow using for, if and else, and while-repeat loops
  • Discover how to make the best use of debugging tools to make your code more efficient
  • Work with the various statistical analysis techniques such as evaluating probability distributions, hypothesis testing, one sample testing, linear regression, and so on

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.

  • Perform basic and advanced scientific computing.
  • Look into the various phases of statistical analysis using R
  • Get a clear understanding of how to manipulate data by working on real-world, practical examples
Course Length 6 hours 46 minutes
ISBN 9781782175247
Date Of Publication 31 Jan 2017


Radia Johnson

Radia Johnson, Ph.D. is a Research Scientist & Bioinformatician who specializes in Immunology and Cancer Biology. She routinely uses R and other programing languages to explore genomic data of cancer cells to identify molecular changes and risk factors that contributes to cancer development. Since completing her Ph.D. at the University of Toronto, she has pursued her research interests using system biology to study blood cancers at the University of Cambridge in the UK and the Université de Montréal in Canada. She is currently based in Montreal, as a Bioinformatician for the Rosalind & Morris Goodman Cancer Research Center at McGill University.