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The Gentlest of Introductions to Bayesian Data Analysis

How to think in a natural way based on data

Michał Oleszak
TDS Archive
13 min readApr 26, 2021

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Photo by Kenneth John dela Vega on Unsplash

If you have ever taken a statistics class at university or an online course, you might recall terms such as hypothesis testing, confidence intervals, or p-values. If so, what you were taught was the so-called “classical” or “frequentist” statistics, which is the dominant approach in teaching STATS101. There is, however, another school called Bayesian statistics, which builds up a different way of thinking about data and models.

The Bayesian approach is often neglected at universities and online courses alike as harder to explain, understand, and apply. I believe such branding is unjust. Actually, I think the Bayesian way of thinking is more natural and offers significant advantages over the classical approach. Let me do my best to offer you the gentlest of introductions to Bayesian statistics in this article. Let’s dive in!

Updating beliefs with data

Imagine we are at a pool table. You are standing with your back to the table so that you can’t see it. I place a white ball somewhere on the table and ask you where it is…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Michał Oleszak
Michał Oleszak

Written by Michał Oleszak

ML Engineer & Manager | Top Writer in AI & Statistics | michaloleszak.com | Book 1:1 @ topmate.io/michaloleszak

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