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docs/About.md

@@ -46,7 +46,7 @@ These credits are based on our [course contributors table guidelines](https://ww
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+##  date     2025-10-02
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 ## ─ Packages ───────────────────────────────────────────────────────────────────

docs/Introduction-to-Reproducibility.docx

@@ -432,7 +432,7 @@ <h1>About the Authors<a href="about-the-authors.html#about-the-authors" class="a
 ##  collate  en_US.UTF-8
 ##  ctype    en_US.UTF-8
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-##  date     2025-08-11
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docs/about-the-authors.html

@@ -312,7 +312,7 @@ <h1>
 </div>
 <div id="header">
 <h1 class="title">Intro to Reproducibility in Cancer Informatics</h1>
-<p class="date"><em>August, 2025</em></p>
+<p class="date"><em>October, 2025</em></p>
 </div>
 <div id="about-this-course" class="section level1 unnumbered hasAnchor">
 <h1>About this Course<a href="index.html#about-this-course" class="anchor-section" aria-label="Anchor link to header"></a></h1>
@@ -323,7 +323,7 @@ <h2><span class="header-section-number">0.1</span> Available course formats<a hr
 <ul>
 <li>The material for this course can be viewed without login requirement on this <a href="https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/">Bookdown website</a>. This format might be most appropriate for you if you rely on screen-reader technology.</li>
 <li>This course can be taken for <a href="https://leanpub.com/universities/courses/jhu/intro-to-reproducibility-in-cancer-informatics">free certification through Leanpub</a>.</li>
-<li>This course can be taken on <a href="https://www.coursera.org/learn/intro-reproducibility-cancer-informatics">Coursera for certification for a fee here</a> (this course can also be audited for free on Coursera).</li>
+<li>This course can be taken on <a href="https://www.coursera.org/learn/intro-reproducibility-cancer-informatics">Coursera for certification for a fee here</a>.</li>
 <li>Our courses are open source, you can find the <a href="https://github.com/jhudsl/Reproducibility_in_Cancer_Informatics">source material for this course on GitHub</a>.</li>
 </ul>
 

docs/index.html

@@ -1,6 +1,6 @@
 ---
 title: "Intro to Reproducibility in Cancer Informatics"
-date: "August, 2025"
+date: "October, 2025"
 site: bookdown::bookdown_site
 documentclass: book
 bibliography: [book.bib, packages.bib]
@@ -23,5 +23,5 @@ This course is available in multiple formats which allows you to take it in the
 
 - The material for this course can be viewed without login requirement on this [Bookdown website](https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/). This format might be most appropriate for you if you rely on screen-reader technology.
 - This course can be taken for [free certification through Leanpub](https://leanpub.com/universities/courses/jhu/intro-to-reproducibility-in-cancer-informatics).
-- This course can be taken on [Coursera for certification for a fee here](https://www.coursera.org/learn/intro-reproducibility-cancer-informatics) (this course can also be audited for free on Coursera).
+- This course can be taken on [Coursera for certification for a fee here](https://www.coursera.org/learn/intro-reproducibility-cancer-informatics).
 - Our courses are open source, you can find the [source material for this course on GitHub](https://github.com/jhudsl/Reproducibility_in_Cancer_Informatics).