Introduction to R
Introduction to R. Learn the core fundamentals of the R language for interactive use as well as programming
The name of this course is Introduction to R. The knowledge you will get with this indescribable online course is astonishing. Learn the core fundamentals of the R language for interactive use as well as programming.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Jagannath Rajagopal, one of the very best experts in this field.
Description of this course: Introduction to R
Course Description 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, Non-Linear Regression, and Trees. Following that, the next topic will be Graphics, where you will learn to create 2-dimensional Univariate and Multi-variate 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 sub-sections. A sub-section 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 existente 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.
Requirements of this course: Introduction to R
What are the 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
What will you learn in this course: Introduction to R?
What am I going to get from this course? 90 videos (15+ hours) To educate you on the fundamentals of R 140+ exercise problems To accelerate your learning of R through practice
Target audience of this course: Introduction to R
Who is the target audience? Enterprise Data Analysts Students Anyone interested in Data Mining, Statistics, Data Visualization