<DIV><p>This guide is ideal if you’re a professional, manager, or student who wants practical knowledge of analyzing data, without having to get a PhD in statistics. It’s also good for people who have a PhD in statistics, but may not know how to write programs that apply statistical methods to real data.</p><p>Discover how to apply the R language to data analysis through active learning and hands-on demonstration. You’ll learn how to use R libraries that useful and reliable for data analysis, and how they can save you time and stress.</p><ul><li>Learn from a PhD-level statistician who develops and leads R courses </li><li>Start analyzing data with R, rather than absorb academic statistics concepts </li><li>Run more powerful analyses and make better-looking graphs </li><li>Spend less time coding, with ggplot2, plyr, reshape2, and lubridate </li><li>Learn how to make decisions during a data analysis </li></ul></div>