
Learn how data types in R determine variable storage, including numeric, integer, complex, character, and boolean, using the class function to identify types and the l suffix for integers.
Learn how to write an if statement in R by initializing variables A and B, comparing them, and printing a message when A is greater than B.
Learn to write if-else statements in R, using if blocks and else blocks, print results, and manage indentation to correctly evaluate conditions and control program flow.
Explain how to use else if statements in R to compare A and B, covering cases where A is greater, B is greater, or A equals B, with print messages.
Learn to define and call functions, pass parameters, and return values, with a demo that prints Hello world and shows how to merge first and last names.
Explore vectors in R by creating typed lists, printing and sorting numeric, character, and logical vectors, and indexing to access or modify elements and generate sequences.
Explore how lists store different data types, are ordered and changeable, and support operations like accessing the first item, modifying elements, appending, checking membership, slicing ranges, looping, and concatenating lists.
Generate pie charts from number vectors such as 10, 20, 30, and 40, and observe the pie of Excel output in the 2025 R Programming Bootcamp for Absolute Beginners.
So, you've decided that you want to learn R or you want to get familiar with it, but don't know where to start? Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programming?
Then, this course was designed just for Absolute Beginners in R!!
This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:
1. Basics of R
2. Control Statements in R
3. Functions in R
4. Data Structures in R
5. Plotting Graphs in R
6. Assignments in R
This course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.
At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.
Here are some examples of things you will be able to do after finishing the course:
Do interesting line plots that enable you to draw conclusions from data.
Plot histograms of numerical data.
Create your own functions that will enable you to reutilize code.
Data Structures in R
Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language. This course will be constantly updated based on the student's feedback.