Data Science

Look at how to use and not to use pie charts:

https://www.martinraffeiner.blog/using-data-visualizations-bad-guy-pie-charts/

An old but still relevant TED talk by Eli Pariser on how the web is being inconspicuously personalized for individual tastes creating bubbles of like-minded people.

https://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles?utm_source=tedcomshare&utm_medium=social&utm_campaign=tedspread

…and its critique:

https://slate.com/news-and-politics/2011/06/eli-pariser-s-the-filter-bubble-is-web-personalization-turning-us-into-solipsistic-twits.html

…and a more recent take on the topic:

https://www.theverge.com/interface/2019/11/12/20959479/eli-pariser-civic-signals-filter-bubble-q-a

A short summary of important data science concepts we discuss during the course in Aleksi Aaltonen’s blog:

https://aleksiaaltonen.medium.com/a-simple-vocabulary-of-data-science-concepts-dc29c633f5ee

It’s just 2 min read and gives you an overview of many important concepts we will discuss during the semester.

Here are some brilliant examples of correlations that surely do not indicate causation!

https://www.tylervigen.com/spurious-correlations