<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>teaching on Arun Mitra</title>
    <link>https://arunmitra.com/tags/teaching/</link>
    <description>Recent content in teaching on Arun Mitra</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://arunmitra.com/tags/teaching/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Introduction to Health Data Science</title>
      <link>https://arunmitra.com/training/workshops/intro-health-data-science/</link>
      <pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/intro-health-data-science/</guid>
      <description>Background     Public-health students increasingly need data-science skills to make sense of routine and outbreak data, but many begin with no programming background. This foundational teaching module, developed for students at the Institute of Public Health (IPH), introduces health data science from first principles with an emphasis on reproducible, applied analysis.
Approach     The module is taught in R using the tidyverse, combining structured exercises with collaborative group activities.</description>
    </item>
    
  </channel>
</rss>
