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<!DOCTYPE html>
<html>
<script type="text/javascript">var blog_title = "Statistics resources";</script>
<script type="text/javascript">var publication_date = "August 29, 2019";</script>
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<h3>Where to learn Statistics</h3>
<p>
So, you want to learn statistics but you’re not sure where to start?
Don’t worry. My generous Internet friends on
<a href=" https://www.linkedin.com/posts/brohrer_statistics-activity-6571698986552479744-gjLa ">LinkedIn</a> and
<a href=" https://twitter.com/_brohrer_/status/1165933341411106818?s=20 ">Twitter</a>
have you covered. Here’s what they recommend.
</p>
<p>
<img src="images/stats_resources.png" style="width: 550px;" />
</p>
<h3>Best</h3>
<p>
<a href="http://www.bcfoltz.com/blog/stats-101/">
<strong>Brandon Foltz</strong>' Stats 101</a>
and
<a href="https://statquest.org">
<strong>Josh Starmer</strong>'s StatQuest</a>
top the charts. Recommendations were hearfelt and enthusiastic.
Their video series have markedly different styles, but both
have broad content coverage, clear organization, and
beginner-friendly pacing.
</p>
<h3>Excellent</h3>
<ul>
<li>
<a href="https://www.khanacademy.org/math/statistics-probability">
<strong>Khan Academy</strong>'s Statistics and Probability Course
</a>
</li>
<li>
<a href="https://seeing-theory.brown.edu/">
<strong>Seeing Theory</strong>, created by Daniel Kunin
</a>, captivating animations illustrating foundational statistics
concepts.
</li>
<li>
<a href=" https://lagunita.stanford.edu/courses/course-v1:OLI+ProbStat+Open_Jan2017/about ">
<strong>Stanford Lagunita</strong>'s Probability and Statistics Course
</a>
</li>
<li>
<a href=" https://www.coursera.org/learn/probability-intro ">
<strong>Duke University</strong>'s Introduction to Probability
and Data on Coursera
</a>
</li>
</ul>
<h3>Very Good</h3>
<p>
These are all highly recommended as well. Every one has
sparked at least one quantitative career.
</p>
<ul>
<li>
<a href="https://www.openintro.org/stat/">
<strong>Open Intro Statistics</strong> course</a>,
a straightforward course, with practical implementation tips
for working with real data sets.
</li>
<li>
<a href="https://www.jbstatistics.com/">
<strong>JB Statistics</strong></a>
, a rock-solid sequence of lessons by Jeremy Balka.
</li>
<li>
<a href="https://www.pbs.org/wgbh/nova/video/prediction-by-the-numbers">
<strong>Prediction by the Numbers</strong>, a Nova television special</a>.
A rich one-hour video with PBS' production values.
</li>
<li>
<a href=" https://projects.iq.harvard.edu/stat110 ">
<strong>Harvard's Stat110 Probability</strong> course</a>,
taught by Joe Blitzstein.
</li>
<li>
<a href=" https://www.udacity.com/course/intro-to-statistics--st101 ">
<strong>Udacity's Introduction to Statistics</strong> course</a>,
taught by Sebastian Thrun.
</li>
</ul>
<p>
There were also some books that people felt strongly about.
</p>
<ul>
<li>
<a href="https://www.discoveringstatistics.com/books/discovering-statistics-using-r/">
<strong>Discovering Statistics Using R</strong> by Andy Field</a>.
Field's playfulness and storytelling is matched only by
the clarity of his explanations.
</li>
<li>
<strong> Statistics for Engineers and Scientists </strong> by William Navidi
</li>
<li>
<strong> Naked Statistics: Stripping the Dread from the Data </strong>
by Charles Wheelan
</li>
</ul>
<br>
<p>
I was surprised at the volume of recommendations.
I encourage you to check out the comment threads on the
original
<a href=" https://www.linkedin.com/posts/brohrer_statistics-activity-6571698986552479744-gjLa ">LinkedIn</a> and
<a href=" https://twitter.com/_brohrer_/status/1165933341411106818?s=20 ">Twitter</a>
posts. There are lots of other videos, courses, and books that
students of statistics have found helpful and, in some cases,
life changing.
</p>
<p>
Learning statistics is different than learning the
multiplication table. It requires learning concepts that
are abstract and unfamiliar. It’s not enough to have them
explained once or twice. Like diamonds, it’s helpful to have
them illuminated from several directions in different kinds
of light to really get a sense of them. I’ve been through seven
different statistics courses over the course of my training,
most of them at the introductory level. Every time I’ve thought,
"Wow, I understand statistics so much more clearly now."
And I expect that I will feel that way after the next time too.
</p>
<p>
My best advice is to try out a handful of these.
We are all at different places in our understanding,
and we all have different ways of seeing the world and
absorbing new ideas. Nowhere is this more apparent
then when trying to comprehend entirely new concepts.
These courses, books, and lectures have all been a perfect
fit for someone. I encourage you to find the ones that
are perfect fit for you.
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