<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>📊 Learn Data Science | portfolio Emmanuel</title><link>https://Emmanuel-Carranza.github.io/courses/example/</link><atom:link href="https://Emmanuel-Carranza.github.io/courses/example/index.xml" rel="self" type="application/rss+xml"/><description>📊 Learn Data Science</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© 2021 Emmanuel Carranza</copyright><lastBuildDate>Sun, 24 Jan 2021 00:00:00 +0000</lastBuildDate><image><url>https://Emmanuel-Carranza.github.io/courses/example/featured.jpg</url><title>📊 Learn Data Science</title><link>https://Emmanuel-Carranza.github.io/courses/example/</link></image><item><title>Python basics</title><link>https://Emmanuel-Carranza.github.io/courses/example/python/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://Emmanuel-Carranza.github.io/courses/example/python/</guid><description>&lt;p>Build a foundation in Python.&lt;/p>
&lt;p>
&lt;i class="fas fa-clock pr-1 fa-fw">&lt;/i> 1-2 hours per week, for 8 weeks&lt;/p>
&lt;h2 id="learn">Learn&lt;/h2>
&lt;div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
&lt;iframe src="https://www.youtube.com/embed/rfscVS0vtbw" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" allowfullscreen title="YouTube Video">&lt;/iframe>
&lt;/div>
&lt;h2 id="quiz">Quiz&lt;/h2>
&lt;details class="spoiler " id="spoiler-2">
&lt;summary>What is the difference between lists and tuples?&lt;/summary>
&lt;p>&lt;p>Lists&lt;/p>
&lt;ul>
&lt;li>Lists are mutable - they can be changed&lt;/li>
&lt;li>Slower than tuples&lt;/li>
&lt;li>Syntax: &lt;code>a_list = [1, 2.0, 'Hello world']&lt;/code>&lt;/li>
&lt;/ul>
&lt;p>Tuples&lt;/p>
&lt;ul>
&lt;li>Tuples are immutable - they can&amp;rsquo;t be changed&lt;/li>
&lt;li>Tuples are faster than lists&lt;/li>
&lt;li>Syntax: &lt;code>a_tuple = (1, 2.0, 'Hello world')&lt;/code>&lt;/li>
&lt;/ul>
&lt;/p>
&lt;/details>
&lt;details class="spoiler " id="spoiler-3">
&lt;summary>Is Python case-sensitive?&lt;/summary>
&lt;p>Yes&lt;/p>
&lt;/details></description></item><item><title>Visualization</title><link>https://Emmanuel-Carranza.github.io/courses/example/visualization/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://Emmanuel-Carranza.github.io/courses/example/visualization/</guid><description>&lt;p>Learn how to visualize data with Plotly.&lt;/p>
&lt;p>
&lt;i class="fas fa-clock pr-1 fa-fw">&lt;/i> 1-2 hours per week, for 8 weeks&lt;/p>
&lt;h2 id="learn">Learn&lt;/h2>
&lt;div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
&lt;iframe src="https://www.youtube.com/embed/hSPmj7mK6ng" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" allowfullscreen title="YouTube Video">&lt;/iframe>
&lt;/div>
&lt;h2 id="quiz">Quiz&lt;/h2>
&lt;details class="spoiler " id="spoiler-2">
&lt;summary>When is a heatmap useful?&lt;/summary>
&lt;p>Lorem ipsum dolor sit amet, consectetur adipiscing elit.&lt;/p>
&lt;/details>
&lt;details class="spoiler " id="spoiler-3">
&lt;summary>Write Plotly code to render a bar chart&lt;/summary>
&lt;p>&lt;pre>&lt;code class="language-python">import plotly.express as px
data_canada = px.data.gapminder().query(&amp;quot;country == 'Canada'&amp;quot;)
fig = px.bar(data_canada, x='year', y='pop')
fig.show()
&lt;/code>&lt;/pre>
&lt;/p>
&lt;/details></description></item><item><title>Statistics</title><link>https://Emmanuel-Carranza.github.io/courses/example/stats/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://Emmanuel-Carranza.github.io/courses/example/stats/</guid><description>&lt;p>Introduction to statistics for data science.&lt;/p>
&lt;p>
&lt;i class="fas fa-clock pr-1 fa-fw">&lt;/i> 1-2 hours per week, for 8 weeks&lt;/p>
&lt;h2 id="learn">Learn&lt;/h2>
&lt;p>The general form of the &lt;strong>normal&lt;/strong> probability density function is:&lt;/p>
&lt;p>$$
f(x) = \frac{1}{\sigma \sqrt{2\pi} } e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}
$$&lt;/p>
&lt;div class="alert alert-note">
&lt;div>
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>
&lt;/div>
&lt;h2 id="quiz">Quiz&lt;/h2>
&lt;details class="spoiler " id="spoiler-2">
&lt;summary>What is the parameter $\mu$?&lt;/summary>
&lt;p>The parameter $\mu$ is the mean or expectation of the distribution.&lt;/p>
&lt;/details></description></item></channel></rss>