Fundamentals of R Programming and Statistical Analysis – Learning the basics of programming and statistical analysis
The R language is widely used by statisticians and data miners to develop statistical software and data analysis.
In this course, we will begin by diving into different types of R data structures and you will 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 will get hands-on work with various statistical methods in R programming. You will 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.
Table of Contents:
– R Data Structures
– Manipulating Datasets with R
– Visualizing Data in R
– Flow Control and Debugging Tools
– Evaluating Probability Distributions
– Hypothesis Testing and Statistical Models
Manufacturer: Packt Publishing
Language of instruction: English
Teacher: Radia Johnson
Level of training: Elementary, Secondary, Advanced
Training time: 6 hours + 46 minutes
File size: 1690 MB