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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Data: Past, Present, and Future</title>
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<body>
<div class="wrapper">
<header>
<h1>Data: Past, Present, and Future</h1>
<p>
Course page for 2017–2024
<br>
<strong>Note:</strong> This course is not being offered in Spring 2025.
</p>
<p>
From 2017 to 2023, the course was taught by Chris Wiggins and Matt Jones (now at Princeton).
In Spring 2024, it was taught by Chris Wiggins and Madi Whitman.
</p>
<nav>
<p><a href="https://github.com/data-ppf/data-ppf.github.io/wiki/Syllabus">Syllabus</a></p>
<p><a href="https://github.com/data-ppf/data-ppf.github.io/wiki">Lectures, Labs, and Resources</a></p>
<p><a href="https://github.com/data-ppf/data-ppf.github.io/wiki/FAQ">FAQ/HW/Grading</a></p>
</nav>
</header>
<section>
<h2>The Class</h2>
<ul>
<li>
Open to students in SEAS, CC, GS, and GSAS:
<ul>
<li>CC/GS: Fulfills one science requirement.</li>
<li>SEAS: Counts towards "nontech elective" credit.</li>
<li>BC: Satisfies T&D general education requirement.</li>
<li>History majors: Counts as a history course.</li>
</ul>
</li>
<li>
No prerequisites or programming experience required.
<br />
Tools: Pre-authored
<a href="https://en.wikipedia.org/wiki/Notebook_interface" target="_blank">notebooks</a> via
<a href="https://towardsdatascience.com/getting-started-with-google-colab-f2fff97f594c" target="_blank">Google
Colab</a>.
</li>
</ul>
</section>
<section>
<h2>Find Out More</h2>
<ul>
<li><a href="http://columbiaspectator.com/news/2016/10/18/new-columbia-class-aims-contextualize-data-history-society">Columbia Spectator (October 2016)</a></li>
<li><a href="http://news.columbia.edu/content/Collaboratory-Columbia-to-Embed-Data-Literacy-Throughout-Curriculum">Columbia Record (February 2017)</a></li>
<li><a href="http://magazine.columbia.edu/news/spring-2017/collaboratory-courses-demystify-big-data-for-non-specialists">Columbia Magazine (Spring 2017)</a></li>
<li><a href="http://datascience.columbia.edu/ethics-data-and-product">Data Science Institute's Voices (December 2017)</a></li>
<li><a href="http://www.columbia.edu/itc/applied/wiggins/ppf.pdf">2016 COI Proposal</a></li>
<li><a href="https://docs.google.com/presentation/d/17WCetEYvYnKCfRLJ25A1w7AKE1P6HLvntTRI0OSNn-Q/edit">Day 1 Slides (January 12, 2021)</a></li>
<li>Book: <a href="https://www.amazon.com/How-Data-Happened-History-Algorithms/dp/1324006730">How Data Happened</a></li>
</ul>
</section>
<footer>
<p><small>Hosted on GitHub Pages</small></p>
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