Language: English
Created by: Jagannath Rajagopal
Rate: 4.2 / 1,669 ratings
Enroll: 38,544 students
What you’ll learn
 90 videos (15+ hours)
 To educate you on the fundamentals of R
 140+ exercise problems
 To accelerate your learning of R through practice
Requirements

Windows/Mac/Linux

Basic proficiency in math – vectors, matrices, algebra

Basic proficiency in statistics – probability distributions, linear modeling, etc

A high speed internet connection
Description
UPDATE: As of Nov 22, 2018, this course is now free! Many thanks to all my existing students who made it possible for the wider audience to benefit from the course material 🙂
With “Introduction to R“, you will gain a solid grounding of the fundamentals of the R language!
This course has about 90 videos and 140+ exercise questions, over 10 chapters. To begin with, you will learn to Download and Install R (and R studio) on your computer. Then I show you some basic things in your first R session.
From there, you will review topics in increasing order of difficulty, starting with Data/Object Types and Operations, Importing into R, and Loops and Conditions.
Next, you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations.
After that, you will learn the use of R in Statistics, where you will see about using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, NonLinear Regression, and Trees.
Following that, the next topic will be Graphics, where you will learn to create 2dimensional Univariate and Multivariate plots. You will also learn about formatting various parts of a plot, covering a range of topics like Plot Layout, Region, Points, Lines, Axes, Text, Color and so on.
At that point, the course finishes off with two topics: Exporting out of R, and Creating Functions.
Each chapter is designed to teach you several concepts, and these have been grouped into subsections. A subsection usually has the following:
 A Concept Video
 An Exercise Sheet
 An Exercise Video (with answers)
Why take a course to learn R?
When I look to advancing my R knowledge today, I still face the same sort of situation as when I originally started to use R. Back when I was learning R, my approach was learn by doing. There was a lot of free material out there (and I refer to that early in the course) that gave me a framework, but the wording was highly technical in nature. Even with the R help and the free material, it took me up to a couple of months of experimentation to gain a certain level of proficiency. What I would have liked at that time was a way to learn the fundamentals quicker. I have designed this course with exactly that in mind.
Why my course?
For those of you that are new to R, this course will cover enough breadth/depth in R to give you a solid grounding. I use simple language to explain the concepts. Also, I give you 140+ exercise questions many of which are based on real world data for practice to get you up and running quickly, all in a single package. This course is designed to get you functional with R in little over a week.
For those beginners with some experience that have learnt R through experimentation, this course is designed to complement what you know, and round out your understanding of the same.
Who this course is for:
 Enterprise Data Analysts
 Students
 Anyone interested in Data Mining, Statistics, Data Visualization