<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Nicholas Grieshop - Mizzou</title><link>https://nick-grieshop.netlify.app/project/</link><atom:link href="https://nick-grieshop.netlify.app/project/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 29 Aug 2022 18:31:55 +0000</lastBuildDate><image><url>https://nick-grieshop.netlify.app/media/icon_hu46b6fe2f5eccc63dad8f96ddd3982342_15265_512x512_fill_lanczos_center_3.png</url><title>Projects</title><link>https://nick-grieshop.netlify.app/project/</link></image><item><title>Introduction to R for Statistical Learning</title><link>https://nick-grieshop.netlify.app/project/introduction-to-r-for-statistical-learning/</link><pubDate>Mon, 29 Aug 2022 18:31:55 +0000</pubDate><guid>https://nick-grieshop.netlify.app/project/introduction-to-r-for-statistical-learning/</guid><description>&lt;p>A self-paced online course introducing the basis of R. Topics included data structure basics, loops, data visualization, and a gentle introduction to the tidyverse.&lt;/p></description></item><item><title>STAT 3500</title><link>https://nick-grieshop.netlify.app/project/stat-3500/</link><pubDate>Mon, 29 Aug 2022 17:35:06 +0000</pubDate><guid>https://nick-grieshop.netlify.app/project/stat-3500/</guid><description>&lt;p>A continuation of the material from STAT 2500. Topics include ANOVA and regression. Students learn how to implement those ideas in both Excel and R.&lt;/p>
&lt;p>This class was instructed both in person and as an online course.&lt;/p></description></item><item><title>STAT 2500</title><link>https://nick-grieshop.netlify.app/project/stat-2500/</link><pubDate>Mon, 29 Aug 2022 17:30:27 +0000</pubDate><guid>https://nick-grieshop.netlify.app/project/stat-2500/</guid><description>&lt;p>The course is primarily for students of the College of Business. Topics included descriptive statistics, random variables, confidence intervals, and hypothesis tests.&lt;/p></description></item></channel></rss>