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<h1>Welcome to r-statistics.co</h1>
<p>An educational resource for those seeking knowledge related to machine learning and statistical computing in R. Here, you will find quality articles, with working R code and examples, where, the goal is to make the <a href="http://bit.ly/2kyJ31C">#rstats</a> concepts clear and as simple as possible.</p>
<p>This is built by keeping in mind, statisticians who are new to R programming language, R programmers without a stats background, analysts who work in SAS or python, college grads and developers who are relatively new to both R and stats/ML. If you are completely new to R, this <a href="R-Tutorial.html">R tutorial</a> is a good place it start.</p>
<h4>Video Courses</h4>
<p><a href="http://bit.ly/2mb2IDf">Learn R By Intensive Practice</a>: Gain clear understanding of base R programming concepts and internalise through a lot of practice.</p>
<p><a href="http://bit.ly/2apjNXo">Introduction to R Programming</a>: Covers core programming with R, statistics fundamentals, base graphics, data manipulation with data.table and dplyr. (For Beginners)</p>
<p><a href="http://bit.ly/2jDsrGS">Mastering R Programming</a>: Covers advanced machine learning concepts and interesting programming exercises throughout the <a href="http://bit.ly/2jDsrGS">course</a>. (For Data scientists and Machine Learning Engineers)</p>
<p><img src='screenshots/corrplot2.png' width='528' height='528' /></p>
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