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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<title>Learning Resources</title>
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<a class="navbar-brand" href="index.html">YCA Data Science & Technology</a>
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<ul class="nav navbar-nav">
<li>
<a href="index.html">Home</a>
</li>
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<a href="data_resources.html">Data Resources</a>
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<h1 class="title toc-ignore">Learning Resources</h1>
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<p><br></p>
<div id="r" class="section level2">
<h2>R</h2>
<ul>
<li><strong><a href="https://www.learnr4free.com/index.html">“Learn R 4 Free (resources in English, Spanish, Turkish)”</a></strong>
<ul>
<li>Page with links to free resources for learning R.</li>
</ul></li>
<li><strong><a href="https://sicss.io/boot_camp">“SICSS Bootcamp”</a></strong>
<ul>
<li>Bootcamp for R</li>
</ul></li>
<li><strong><a href="https://r4ds.had.co.nz/">“R for Data Science”</a></strong>
<ul>
<li>A resource for beginners who are interested in learning both the basics of R and data science.</li>
</ul></li>
<li><strong><a href="http://adv-r.had.co.nz/Introduction.html">“Advanced R”</a></strong>
<ul>
<li>A resource for more advanced R users who are interested in learning more in-depth knowledge about how the R programming language works.</li>
</ul></li>
<li><strong><a href="https://style.tidyverse.org/">“The tidyverse style guide”</a></strong>
<ul>
<li>A style guide for writing R code (requires a VPN to access in mainland China)</li>
</ul></li>
<li><strong><a href="https://www.tidyverse.org/">“Tidyverse”</a></strong>
<ul>
<li>Website with resources for using the tidyverse, one of the most popular collections of R packages</li>
</ul></li>
<li><strong><a href="http://r-pkgs.had.co.nz/">“R Packages”</a></strong>
<ul>
<li>A guide to building a R package</li>
</ul></li>
<li><strong><a href="https://thisisnic.github.io/2018/11/28/ten-steps-to-becoming-a-tidyverse-contributor/">“Ten Steps to Becoming a Tidyverse Contributor”</a></strong>
<ul>
<li>A guide to contributing to R open source packages</li>
</ul></li>
<li><strong><a href="https://www.emilyzabor.com/tutorials/rmarkdown_websites_tutorial.html#types_of_websites">“Creating websites in R”</a></strong>
<ul>
<li>A quick guide to making a website using RMarkdown</li>
</ul></li>
</ul>
<p><br><br></p>
</div>
<div id="python" class="section level2">
<h2>Python</h2>
<ul>
<li><strong><a href="https://www.cs.dartmouth.edu/~cs1/">“Dartmouth College CS 1 Curriculum”</a></strong>
<ul>
<li>Website for Dartmouth College’s Computer Science 1 course</li>
</ul></li>
</ul>
<p><br><br></p>
</div>
<div id="sql" class="section level2">
<h2>SQL</h2>
<ul>
<li><strong><a href="http://mystery.knightlab.com/">“SQL Murder Mystery”</a></strong>
<ul>
<li>An interactive website for learning SQL</li>
</ul></li>
</ul>
<p><br><br></p>
</div>
<div id="git-and-github" class="section level2">
<h2>Git and GitHub</h2>
<ul>
<li><strong><a href="https://try.github.io/">“Resources to learn Git”</a></strong>
<ul>
<li>Resources compiled by GitHub for learning Git</li>
</ul></li>
<li><strong><a href="https://lab.github.com/">“GitHub Learning Lab”</a></strong>
<ul>
<li>Interactive tool from GitHub for learning Git</li>
</ul></li>
</ul>
<p><br><br></p>
</div>
<div id="machine-learningdata-science" class="section level2">
<h2>Machine Learning/Data Science</h2>
<ul>
<li><strong><a href="https://web.stanford.edu/~hastie/ElemStatLearn/">“The Elements of Statistical Learning”</a></strong>
<ul>
<li>A free online textbook for statistical learning</li>
</ul></li>
<li><strong><a href="https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html">“Data Science for Economists”</a></strong>
<ul>
<li>Data science for economists lecture with links to resources</li>
</ul></li>
<li><strong><a href="https://datasciencebox.org/">“Data Science in a Box”</a></strong>
<ul>
<li>Intro data science course</li>
</ul></li>
</ul>
</div>
<div id="statistics" class="section level2">
<h2>Statistics</h2>
<ul>
<li><strong><a href="https://github.com/OpenIntroStat/ims">“Open Intro Stats”</a></strong>
<ul>
<li>Free online resources for intro statistics</li>
</ul></li>
<li><strong><a href="https://stat150.blog/">“Intro to Stats in R”</a></strong>
<ul>
<li>Introductory statistics using R</li>
</ul></li>
<li><strong><a href="https://erbiostat.wixsite.com/bootstrap">“Resampling Methods in R”</a></strong>
<ul>
<li>Bootstrapping and other methods in R</li>
</ul></li>
</ul>
</div>
</div>
</div>
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