Gain insights into R, the leading language for data analysis. Learn about its basics, advanced concepts, and practical coding to drive valuable insights from large datasets.

The digital world we live in has given companies and people access to staggering amounts of data, and anyone that 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.

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

This interactive course will get you up to speed and assumes no prior knowledge of R. You'll start with the very basics and work your way up to advanced concepts like exception handling. By the time you're done, you'll be able to write detailed, useful code in R yourself.

Learn R from Scratch

Vectors may contains elements of different data types at each index. 

Vectors may contains elements of different data types at each index.

The `vector()` function is used to create a vector of a variable type and fixed length.

The <code>vector()</code> function is used to create a vector of a variable type and fixed length.

We can insert an element in the list using the `c()` function.

We can insert an element in the list using the <code>c()</code> function.

The `array()` function cannot create a 4-dimensional array.

The <code>array()</code> function cannot create a 4-dimensional array.

Inputs to the `array()` function include vectors and the `attribute` parameter.

Inputs to the <code>array()</code> function include vectors and the <code>attribute</code> parameter.

Matrices are R objects where elements are arranged in a rectangular layout.

Matrices are R objects where elements are arranged in a rectangular layout.

Matrices can store different classes of objects in each column, however, in dataframes, all the elements are of the same type.

Matrices can store different classes of objects in each column, however, in dataframes, all the elements are of the same type.

The following method of accessing a dataframe returns all the rows of column 100.
```
data[100, ]
```


The following method of accessing a dataframe returns all the rows of column 100.
<pre><code>data[100, ]
</code></pre>

Factors can be created using the `is.factor()` function.

Factors can be created using the <code>is.factor()</code> function.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Test Your Knowledge 2

Quiz on R Objects