Introduction to R

Description

UPDATE: As of Nov 22, 2018, this course is now free! Many because of all my existing students who made it possible for the broader audience to profit from the course material :-)

With "Introduction to R", you'll gain a solid grounding of the basics of the R language!

This course has about 90 videos and 140+ exercise questions, over 10 chapters. to start with, you'll learn to Download and Install R (and R studio) on your computer. Then I show you some basic items in your first R session.

From there, you'll review topics in increasing order of difficulty, starting with Data/Object Types and Operations, Importing into R, and Loops and Conditions.

Next, you'll be introduced to the utilization of R in Analytics, where you'll learn a touch about each object type in R and use that in Data Mining/Analytical Operations.

After that, you'll learn the utilization of R in Statistics, where you'll see about using R to guage Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees.

Following that, subsequent topic are going to be Graphics, where you'll learn to make 2-dimensional Univariate and Multi-variate plots. you'll also study formatting various parts of a plot, covering a variety of topics like Plot Layout, Region, Points, Lines, Axes, Text, Color then on.

At that time , the course finishes off with two topics: Exporting out of R, and Creating Functions.

Each chapter is meant to show you many concepts, and these are 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 find out R?

When I look to advancing my R knowledge today, I still face an equivalent kind of situation as once I originally began to use R. Back once I was learning R, my approach was learn by doing. There was tons of free material out there (and I ask that early within the course) that gave me a framework, but the wording was highly technical in nature. Even with the R help and therefore the free material, it took me up to a few of months of experimentation to realize a particular level of proficiency. What i might have liked at that point was how to find out the basics quicker. I even have designed this course with exactly that in mind.

Why my course?

For those of you that are new R, this course will cover enough breadth/depth in R to offer you a solid grounding. i exploit simple language to elucidate the concepts. Also, I offer you 140+ exercise questions many of which are supported world data for practice to urge you up and running quickly, beat one package. This course is meant to urge you functional with R in little over every week .

For those beginners with some experience that have learnt R through experimentation, this course is meant to enrich what you recognize , and round out your understanding of an equivalent .

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