I wrote a book about using data science to solve “everyday” problems
Everyday Data Science. A book about using data science to solve day-to-day problems. It is a collection of stories, jokes, pictures, math, and code all designed to inspire future data professionals. We make decisions everyday, but often times we don
I wrote a book about using data science to solve “everyday” problems launched on February 24, 2021 with 632 votes, #7 of 3,133 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
This is a book about applying data science techniques to everyday problems. Published in 2021, it's aimed at people interested in learning how data science can solve practical, real-world challenges beyond traditional business applications. The book takes a practical approach to making data science accessible for common situations people encounter in daily life.
written from the facts on this page · September 2026
From the sources
During my graduate studies, I have been enthralled with how books often stay relevant and how quickly papers sink into obscurity. I wanted to write something that had value and durability. Why a book? Because books can last. I am not old, but I wanted to take a break from theorem proving to write something light-hearted and decidedly non-academic. My background is in mathematics, theoretical computer science, and machine learning. However, I got started down this path because of my love for data. Data can tell some pretty incredible stories, but it also can be extremely misleading. There are scores of introductory books about data science that start with Aggregation and finish with $z \sim…from andrewnc.github.io
Does a similar job
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