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    <title>📊 Learn Data Science | Anisha Jayadevan</title>
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    <description>📊 Learn Data Science</description>
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      <title>📊 Learn Data Science</title>
      <link>https://anishajayadevan.rbind.io/courses/example/</link>
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    <item>
      <title>Python basics</title>
      <link>https://anishajayadevan.rbind.io/courses/example/python/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://anishajayadevan.rbind.io/courses/example/python/</guid>
      <description>&lt;p&gt;Build a foundation in Python.&lt;/p&gt;
&lt;p&gt;
  &lt;i class=&#34;fas fa-clock  pr-1 fa-fw&#34;&gt;&lt;/i&gt; 1-2 hours per week, for 8 weeks&lt;/p&gt;
&lt;h2 id=&#34;learn&#34;&gt;Learn&lt;/h2&gt;

&lt;div style=&#34;position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;&#34;&gt;
  &lt;iframe src=&#34;https://www.youtube.com/embed/rfscVS0vtbw&#34; style=&#34;position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;&#34; allowfullscreen title=&#34;YouTube Video&#34;&gt;&lt;/iframe&gt;
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&lt;h2 id=&#34;quiz&#34;&gt;Quiz&lt;/h2&gt;
&lt;details class=&#34;spoiler &#34;  id=&#34;spoiler-2&#34;&gt;
  &lt;summary&gt;What is the difference between lists and tuples?&lt;/summary&gt;
  &lt;p&gt;&lt;p&gt;Lists&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Lists are mutable - they can be changed&lt;/li&gt;
&lt;li&gt;Slower than tuples&lt;/li&gt;
&lt;li&gt;Syntax: &lt;code&gt;a_list = [1, 2.0, &#39;Hello world&#39;]&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Tuples&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Tuples are immutable - they can&amp;rsquo;t be changed&lt;/li&gt;
&lt;li&gt;Tuples are faster than lists&lt;/li&gt;
&lt;li&gt;Syntax: &lt;code&gt;a_tuple = (1, 2.0, &#39;Hello world&#39;)&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/p&gt;
&lt;/details&gt;
&lt;details class=&#34;spoiler &#34;  id=&#34;spoiler-3&#34;&gt;
  &lt;summary&gt;Is Python case-sensitive?&lt;/summary&gt;
  &lt;p&gt;Yes&lt;/p&gt;
&lt;/details&gt;</description>
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    <item>
      <title>Visualization</title>
      <link>https://anishajayadevan.rbind.io/courses/example/visualization/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://anishajayadevan.rbind.io/courses/example/visualization/</guid>
      <description>&lt;p&gt;Learn how to visualize data with Plotly.&lt;/p&gt;
&lt;p&gt;
  &lt;i class=&#34;fas fa-clock  pr-1 fa-fw&#34;&gt;&lt;/i&gt; 1-2 hours per week, for 8 weeks&lt;/p&gt;
&lt;h2 id=&#34;learn&#34;&gt;Learn&lt;/h2&gt;

&lt;div style=&#34;position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;&#34;&gt;
  &lt;iframe src=&#34;https://www.youtube.com/embed/hSPmj7mK6ng&#34; style=&#34;position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;&#34; allowfullscreen title=&#34;YouTube Video&#34;&gt;&lt;/iframe&gt;
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&lt;h2 id=&#34;quiz&#34;&gt;Quiz&lt;/h2&gt;
&lt;details class=&#34;spoiler &#34;  id=&#34;spoiler-2&#34;&gt;
  &lt;summary&gt;When is a heatmap useful?&lt;/summary&gt;
  &lt;p&gt;Lorem ipsum dolor sit amet, consectetur adipiscing elit.&lt;/p&gt;
&lt;/details&gt;
&lt;details class=&#34;spoiler &#34;  id=&#34;spoiler-3&#34;&gt;
  &lt;summary&gt;Write Plotly code to render a bar chart&lt;/summary&gt;
  &lt;p&gt;&lt;pre&gt;&lt;code class=&#34;language-python&#34;&gt;import plotly.express as px
data_canada = px.data.gapminder().query(&amp;quot;country == &#39;Canada&#39;&amp;quot;)
fig = px.bar(data_canada, x=&#39;year&#39;, y=&#39;pop&#39;)
fig.show()
&lt;/code&gt;&lt;/pre&gt;
&lt;/p&gt;
&lt;/details&gt;</description>
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    <item>
      <title>Statistics</title>
      <link>https://anishajayadevan.rbind.io/courses/example/stats/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://anishajayadevan.rbind.io/courses/example/stats/</guid>
      <description>&lt;p&gt;Introduction to statistics for data science.&lt;/p&gt;
&lt;p&gt;
  &lt;i class=&#34;fas fa-clock  pr-1 fa-fw&#34;&gt;&lt;/i&gt; 1-2 hours per week, for 8 weeks&lt;/p&gt;
&lt;h2 id=&#34;learn&#34;&gt;Learn&lt;/h2&gt;
&lt;p&gt;The general form of the &lt;strong&gt;normal&lt;/strong&gt; probability density function is:&lt;/p&gt;
&lt;p&gt;$$
f(x) = \frac{1}{\sigma \sqrt{2\pi} } e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}
$$&lt;/p&gt;
&lt;div class=&#34;alert alert-note&#34;&gt;
  &lt;div&gt;
    The parameter $\mu$ is the mean or expectation of the distribution.
$\sigma$ is its standard deviation.
The variance of the distribution is $\sigma^{2}$.
  &lt;/div&gt;
&lt;/div&gt;

&lt;h2 id=&#34;quiz&#34;&gt;Quiz&lt;/h2&gt;
&lt;details class=&#34;spoiler &#34;  id=&#34;spoiler-2&#34;&gt;
  &lt;summary&gt;What is the parameter $\mu$?&lt;/summary&gt;
  &lt;p&gt;The parameter $\mu$ is the mean or expectation of the distribution.&lt;/p&gt;
&lt;/details&gt;</description>
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