Free Course | R Basics - R Programming Language Introduction | Udemy | Data Science | Machine Learning
What you'll learn
Are you interested in data science?
Do you want to learn R totally from scratch?
Are you looking for an easy step-by-step approach to get into R?
Do you want to take an easy R course for BEGINNERS?
Well, if your answer is YES to some of these questions, look no further, this course will help you.
I created this course for the total beginner. That means for you: No prior knowledge is required! If this is your first computer programming language to use - congratulations, you found your entry-level material. If you are new to data science, no problem, you will learn anything you need to to start out with R.
That also means for you: if you are already used to R, you will likely benefit more from an advanced course. I have more than ten intermediate and advanced R courses available on Udemy, which might be more suited to your needs. Check out the r-tutorials instructor profile for more info.
Let’s take a look at the content and how the course is structured:
We will start with installation, the R and RStudio interface, add-on packages, how to use the R exercise database, and the R help tools.
Then we will learn various ways to import data, first coding steps including basic R functions, functions, and loops and we will also take a look at the graphical tools.
The whole course should take approx. 3 to 5 hours, and there are exercises available for you to try out R. You will also get the code I am using for the demos.
Anything is ready for you to enter the world of statistical programming.
What R you waiting for?
Requirements
- Genuine Interest in statistical programming
- Computer ready to run R and RStudio
- Basic understanding of statistics and data structure
- NO prior knowledge of programming is required!
Who this course is for
- Students who need R for their courses
- Web developers who want to implement data analysis features in their webpage
- Everybody interested in statistics and data sciences
- Researchers who perform data analysis including graphs
- Professionals working in analytics or related fields
- Welcome to R Basics
- Download R and RStudio
- RStudio Orientation
- Course Script
- The Structure of the R Ecosystem
- R Help Features
- Using R Functions
- Practice R - the R Exercise Database
- Three Common Mistakes of R Beginners
- Your First Lines of R Code
- Using Some Basic Functions
- Exercise and Solution - Basic Coding
- Functions and Loops
- R Datasets and Data.Frames
- Importing CSV Files
- Advanced-Data Import - Bonus Material from the Data Pre-Processing Course
- How to Best Structure Your R Learning Experience
- R Base Graphs
- R Base Graphs 2
- Exercise and Solution - R Base Graphs
- Loading your CSV files in R; Working directories
- Course R Level 1: Intro to the apply family of functions
- Course Statistics in R: Tests for normality, Exercise, and solution
- Course Graphs in R: Lattice package plots
- Course Twitter Text Mining: Exercise and solution sentiment analysis
- Course Machine Learning: KNN Classification
- Course Machine Learning: Linear Discriminant Analysis
- Course Career Guide: Statistical Software Packages - Alternatives to R
- Where to get more info
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