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nextsteps.html
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<h1 class="title toc-ignore">Continuing your learning</h1>
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<p>Here are resources for continuing your learning of the topics that you studied this week:</p>
<div id="intro-to-r" class="section level2">
<h2>Intro to R</h2>
<ul>
<li><p><a href="http://swcarpentry.github.io/r-novice-inflammation">Software Carpentry free tutorial</a></p></li>
<li><p><a href="https://www.datacamp.com/courses/free-introduction-to-r">Data Camp free tutorial</a>. Takes about 4 hours.</p></li>
<li><p>You can also learn R straight from within R using the <a href="https://swirlstats.com/">swirl package</a>. This doesn’t require internet access except to install the package.</p></li>
<li><p>Basic R introduction from <a href="https://www.computerworld.com/article/2497143/business-intelligence/business-intelligence-beginner-s-guide-to-r-introduction.html">ComputerWorld</a>.</p></li>
</ul>
</div>
<div id="more-r-workflow" class="section level2">
<h2>More R Workflow</h2>
<ul>
<li><p>Software Carpenter has a course that covers some of more advanced topics I did not cover on R workflow: data wrangling with dplyr, tidyverse, and more on RStudio projects. <a href="http://swcarpentry.github.io/r-novice-gapminder/">Reproducible Research with R</a></p></li>
<li><p>Eric Anderson produced a couple online courses on R workflow while with NOAA Fisheries. <a href="http://eriqande.github.io/rep-res-web/">R Reproducible Research 2015</a> and <a href="https://eriqande.github.io/rep-res-eeb-2017/">Reproducible Research 2017</a></p></li>
</ul>
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<div id="forecasting-and-exponential-smoothing-models" class="section level2">
<h2>Forecasting and Exponential Smoothing Models</h2>
<p>Rob J Hyndman (lead on the forecast package) and George Athanasopoulos have an excellent <a href="https://otexts.org/fpp2/">online text on practical forecasting and exponential smoothing</a>.</p>
</div>
<div id="shiny-apps" class="section level2">
<h2>Shiny Apps</h2>
<p>Start with RStudio’s <a href="https://shiny.rstudio.com/tutorial/written-tutorial/lesson1/">online tutorial</a> for shiny apps.</p>
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