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4 changes: 2 additions & 2 deletions docs/_sources/materials/lectures/01-intro-to-ds-workflows.ipynb
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Expand Up @@ -24,9 +24,9 @@
"\n",
"By the end of this topic, students should be able to:\n",
"\n",
"1. Define data science, and the related terms reproducibile and audible analysis\n",
"1. Define data science, and the related terms reproducibile and auditable analysis\n",
"2. Give examples of workflows that are considered reproducible and trustworthy in the context of a data analysis\n",
"3. Explain why data analysis benefit from reproducibile and audible workflows\n",
"3. Explain why data analysis benefit from reproducibile and auditable workflows\n",
"4. Provide real-life examples of how a failure in reproducible and trustworthy workflows has negatively impacted the outcome of a data analysis project\n",
"5. List three useful tools for facilitating organization and collaboration in complex data analysis projects\n",
"6. Describe the data analysis cycle\n",
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4,717 changes: 3,546 additions & 1,171 deletions docs/materials/lectures/01-intro-to-ds-workflows.html
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4 changes: 2 additions & 2 deletions materials/_build/html/_sources/materials/lectures/01-intro-to-ds-workflows.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,9 @@
"\n",
"By the end of this topic, students should be able to:\n",
"\n",
"1. Define data science, and the related terms reproducibile and audible analysis\n",
"1. Define data science, and the related terms reproducibile and auditable analysis\n",
"2. Give examples of workflows that are considered reproducible and trustworthy in the context of a data analysis\n",
"3. Explain why data analysis benefit from reproducibile and audible workflows\n",
"3. Explain why data analysis benefit from reproducibile and auditable workflows\n",
"4. Provide real-life examples of how a failure in reproducible and trustworthy workflows has negatively impacted the outcome of a data analysis project\n",
"5. List three useful tools for facilitating organization and collaboration in complex data analysis projects\n",
"6. Describe the data analysis cycle\n",
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88 changes: 44 additions & 44 deletions materials/_build/html/materials/lectures/01-intro-to-ds-workflows.html
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Expand Up @@ -6,22 +6,22 @@
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>How do reproducible and trustworthy workflows impact data science? &#8212; DSCI 310 Reproducible and Trustworthy Workflows for Data Science</title>

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Expand All @@ -30,7 +30,7 @@
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Expand All @@ -56,34 +56,34 @@
<link rel="prev" title="Reproducible and Trustworthy Workflows for Data Science" href="../../README.html" />
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Expand Down Expand Up @@ -180,17 +180,17 @@ <h1 class="site-logo" id="site-title">DSCI 310 Reproducible and Trustworthy Work
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Expand All @@ -199,15 +199,15 @@ <h1 class="site-logo" id="site-title">DSCI 310 Reproducible and Trustworthy Work
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Expand All @@ -232,7 +232,7 @@ <h1 class="site-logo" id="site-title">DSCI 310 Reproducible and Trustworthy Work
href="https://github.com/UBC-DSCI/reproducible-and-trustworthy-workflows-for-data-science/issues/new?title=Issue%20on%20page%20%2Fmaterials/lectures/01-intro-to-ds-workflows.html&body=Your%20issue%20content%20here."><button
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Expand All @@ -249,24 +249,24 @@ <h1 class="site-logo" id="site-title">DSCI 310 Reproducible and Trustworthy Work
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Expand Down Expand Up @@ -625,18 +625,18 @@ <h1 class="site-logo" id="site-title">DSCI 310 Reproducible and Trustworthy Work
</div>
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<div class="tex2jax_ignore mathjax_ignore section" id="how-do-reproducible-and-trustworthy-workflows-impact-data-science">
<h1>How do reproducible and trustworthy workflows impact data science?<a class="headerlink" href="#how-do-reproducible-and-trustworthy-workflows-impact-data-science" title="Permalink to this headline">¶</a></h1>
<div class="section" id="topic-learning-objectives">
<h2>Topic learning objectives<a class="headerlink" href="#topic-learning-objectives" title="Permalink to this headline">¶</a></h2>
<p>By the end of this topic, students should be able to:</p>
<ol class="simple">
<li><p>Define data science, and the related terms reproducibile and audible analysis</p></li>
<li><p>Define data science, and the related terms reproducibile and auditable analysis</p></li>
<li><p>Give examples of workflows that are considered reproducible and trustworthy in the context of a data analysis</p></li>
<li><p>Explain why data analysis benefit from reproducibile and audible workflows</p></li>
<li><p>Explain why data analysis benefit from reproducibile and auditable workflows</p></li>
<li><p>Provide real-life examples of how a failure in reproducible and trustworthy workflows has negatively impacted the outcome of a data analysis project</p></li>
<li><p>List three useful tools for facilitating organization and collaboration in complex data analysis projects</p></li>
<li><p>Describe the data analysis cycle</p></li>
Expand Down Expand Up @@ -1174,10 +1174,10 @@ <h3>What’s next?<a class="headerlink" href="#what-s-next" title="Permalink to
<script>kernelName = 'python3'</script>

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Expand All @@ -1193,15 +1193,15 @@ <h3>What’s next?<a class="headerlink" href="#what-s-next" title="Permalink to
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Expand All @@ -1211,7 +1211,7 @@ <h3>What’s next?<a class="headerlink" href="#what-s-next" title="Permalink to

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4 changes: 2 additions & 2 deletions materials/_build/jupyter_execute/materials/lectures/01-intro-to-ds-workflows.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,9 @@
"\n",
"By the end of this topic, students should be able to:\n",
"\n",
"1. Define data science, and the related terms reproducibile and audible analysis\n",
"1. Define data science, and the related terms reproducibile and auditable analysis\n",
"2. Give examples of workflows that are considered reproducible and trustworthy in the context of a data analysis\n",
"3. Explain why data analysis benefit from reproducibile and audible workflows\n",
"3. Explain why data analysis benefit from reproducibile and auditable workflows\n",
"4. Provide real-life examples of how a failure in reproducible and trustworthy workflows has negatively impacted the outcome of a data analysis project\n",
"5. List three useful tools for facilitating organization and collaboration in complex data analysis projects\n",
"6. Describe the data analysis cycle\n",
Expand Down