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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/02/moderndive.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>If you're thinking about teaching a course on statistics and data science using R, Chester Ismay and Albert Kim have created an online, open-source textbook for just that purpose. <a target="_blank" rel="nofollow" href="http://www.moderndive.com/">ModernDive</a> is a textbook for that instructs students how to:</p>
<ol>
<li>use R to explore and visualize data;</li>
<li>use randomization and simulation to build inferential ideas;</li>
<li>effectively create stories using these ideas to convey information to a lay audience.</li>
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<p>The book makes liberal use of R packages, and makes effective use real-world data sets to communicate key concepts. Though still a work-in-progress, the book already effectively covers the basics of data analysis (data wrangling and data exploration and data visualization, including the elegant roadmap for selecting a chart type shown below) and statistical comcepts including simulation, regression and hypothesis testing. The book also aims to give students an understanding of the overarching data analysis process, including concepts like reproducibility and telling stories with data.</p>
<p><a target="_blank" rel="nofollow" href="https://ismayc.github.io/moderndiver-book/4-viz.html#resources"><img title="Data viz roadmap" alt="Data viz roadmap" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d25e47d2970c-800wi" border="0"></a> </p>
<p>Incidentally, the book itself was written in R, using the <a target="_blank" rel="nofollow" href="https://bookdown.org/">bookdown</a> package, which makes it easy to combine R code and outbook into a book format. Contributions are welcomed, and the <a target="_blank" rel="nofollow" href="https://github.com/ismayc/moderndiver-book">source code that generates ModernDive</a> is available on Github.</p>
<p>You can find the ModernDive book at its homepage, <a target="_blank" rel="nofollow" href="http://www.moderndive.com/">moderndive.com</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2017/02/moderndive.html"> Revolutions</a></strong>.</div>
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