Getting Started With Rstudio: Clean and Transform Data in R

What you'll learn
Install R and RStudio on your desktop, or use the new cloud-based solution that allows anyone to learn R, directly from your browser.
Learn the 10 most important things that 99% of R programmers should know about the RStudio IDE Interface.
how to install and load R packages, from CRAN and Github, into the R session
Import different types of data files into RStudio (csv, xlsx, txt, tsv, sav...) with the RStudio Importer Interface
Connect and read/write from and to relational databases with RStudio
Select, filter, join groups of observations, split, combine data with RStudio
Learn how to clean and transform messy data
Handle missing data within RStudio
Create interactive HTML widgets with 1 line of code
Requirements
Some programming concepts are required for advanced modules in this course.
Description
If you want to learn a simple way to analyze data with the R programming language, without all the "hard" work that too many people associate with learning R, then this is the course you want! Here's why.But First, a Warning...Before we go further, let me make something abundantly clear. This is not a course that will make you an "instant" expert in R. This is also not a course that promises you that you will learn everything R in 2 hours, just by watching the videos. And I am not suggesting that everyone (or anyone) who watches this course will like it (maybe because of my French accent). In fact, if you don't apply what you learn in this course and do the practice activities (there are 6 of...

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