More specifics at the top

docs/_build_html/_sources/index.rst.txt

@@ -10,12 +10,15 @@ A step-by-step guide to analyzing data with Python and the Jupyter Notebook.
 What you will learn
 -------------------
 
-This three-hour tutuorial will guide you through an investigation of money in politics using data from the `California Civic Data Coalition <http://www.californiacivicdata.org/>`_.
+This three-hour tutorial will guide you through an investigation of money in politics using data from the `California Civic Data Coalition <http://www.californiacivicdata.org/>`_.
 
-You will learn just enough Python to do damage with the powerful `pandas <http://pandas.pydata.org/>`_  data analysis library, the most popular open-source tool for working with large data files. You will also learn how to record, remix and republish your analysis using the `Jupyter Notebook <http://jupyter.org/>`_, a browser-based app for writing code that is emerging as the standard for sharing reproducible research in the sciences.
+You will learn just enough Python to work with the powerful `pandas <http://pandas.pydata.org/>`_  data analysis library, a popular open-source tool for working with large data files. The course will teach you how to use pandas to read, filter, join, rank, group and aggregate structured data.
+
+You will learn how to record, remix and republish your analysis using the `Jupyter Notebook <http://jupyter.org/>`_, a browser-based app for writing code that is emerging as the standard for sharing reproducible research in the sciences.
 
 And most important: you will see how these tools can increase the speed and veracity of your journalism.
 
+
 About the authors
 -----------------
 

docs/_build_html/index.html

@@ -140,8 +140,9 @@ <h1>First Python Notebook<a class="headerlink" href="#first-python-notebook" tit
 <p>A step-by-step guide to analyzing data with Python and the Jupyter Notebook.</p>
 <div class="section" id="what-you-will-learn">
 <h2>What you will learn<a class="headerlink" href="#what-you-will-learn" title="Permalink to this headline">¶</a></h2>
-<p>This three-hour tutuorial will guide you through an investigation of money in politics using data from the <a class="reference external" href="http://www.californiacivicdata.org/">California Civic Data Coalition</a>.</p>
-<p>You will learn just enough Python to do damage with the powerful <a class="reference external" href="http://pandas.pydata.org/">pandas</a>  data analysis library, the most popular open-source tool for working with large data files. You will also learn how to record, remix and republish your analysis using the <a class="reference external" href="http://jupyter.org/">Jupyter Notebook</a>, a browser-based app for writing code that is emerging as the standard for sharing reproducible research in the sciences.</p>
+<p>This three-hour tutorial will guide you through an investigation of money in politics using data from the <a class="reference external" href="http://www.californiacivicdata.org/">California Civic Data Coalition</a>.</p>
+<p>You will learn just enough Python to work with the powerful <a class="reference external" href="http://pandas.pydata.org/">pandas</a>  data analysis library, a popular open-source tool for working with large data files. The course will teach you how to use pandas to read, filter, join, rank, group and aggregate structured data.</p>
+<p>You will learn how to record, remix and republish your analysis using the <a class="reference external" href="http://jupyter.org/">Jupyter Notebook</a>, a browser-based app for writing code that is emerging as the standard for sharing reproducible research in the sciences.</p>
 <p>And most important: you will see how these tools can increase the speed and veracity of your journalism.</p>
 </div>
 <div class="section" id="about-the-authors">