<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>undergraduates on DataScience.LA</title><link>https://datasciencela.github.io/tag/undergraduates/</link><description>Recent content in undergraduates on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Mon, 20 Oct 2014 11:14:57 -0700</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/undergraduates/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenIntro.org on why introductory textbooks are so expensive</title><link>https://datasciencela.github.io/openintro-org-on-why-introductory-textbooks-are-so-expensive/</link><pubDate>Mon, 20 Oct 2014 11:14:57 -0700</pubDate><guid>https://datasciencela.github.io/openintro-org-on-why-introductory-textbooks-are-so-expensive/</guid><description>&lt;p&gt;&lt;em&gt;David Diez works on the &lt;a href="http://www.openintro.org/about.php"&gt;OpenIntro team&lt;/a&gt;, which develops open-source textbooks, statistical software labs, and other course resources for intro-level statistics. This video above is the talk he gave at &lt;a href="http://user2014.stat.ucla.edu/"&gt;useR! 2014&lt;/a&gt; entitled “Textbooks fail where Software Succeeds” in which he outlines the challenges unique to open-source textbooks, the state of OpenIntro, and how people can get involved. Below, he discusses these challenges further and offers his thoughts around their solutions.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>Data science goes to college with DataFest</title><link>https://datasciencela.github.io/data-science-goes-to-college-with-datafest/</link><pubDate>Wed, 06 Aug 2014 17:28:33 -0700</pubDate><guid>https://datasciencela.github.io/data-science-goes-to-college-with-datafest/</guid><description>&lt;p&gt;Below is the first of several exciting data science developments for the younger generation, happening right here in Los Angeles. This project is unique because it engages undergraduates in &lt;em&gt;real&lt;/em&gt; data analysis, something that happens quite rarely in a classroom. If projects like this catch on as a new trend, we&amp;rsquo;re going to have some real competition for our jobs in a few years!&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/data-science-goes-to-college-with-datafest/feature.jpg"/></item></channel></rss>