Statistical Analysis with R

The digital world we live in has given companies and people access to staggering amounts of data, and anyone who can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries.

R, probably the most well-known language for data analysis, has been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages.

This interactive module will get us up to speed with R and assumes no prior knowledge of it. We'll start with the very basics and work our way up to advanced concepts like exception handling. By the time we're done, we'll be able to write detailed, useful code in R.

Learn R from Scratch

# What is R?

`R` is a **programming language**. It provides a free software environment for statistical computing and graphics. We can use R language to perform many interesting tasks such as **linear regression**, **time series**, **statistical inference**, etc. We can also write all the latest statistical and graphical programs using R. 

For example, a statistician can use R language to find the most expensive item sold in a supermarket from its sales dataset. Or; a telecom operator could investigate operational optimizations by running simulations in R. R language makes programming easy and provides many tools for developers. It also makes it easy to build GUIs(Graphical User Interface).

# Why study R?
`R` is used for:
1. Statistical inference
2. Data analysis
3. Machine learning
4. Executing scientific simulations
5. Operations research

Here’s why you should learn R. It is a data analytics tool that has many advantages. This language helps in performing statistical tests, data analyses, creating models, and provides ways to manage and manipulate data.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Why R?

What is R?