Blog

Wikipedia has fairly good articles on KPIs (https://en.wikipedia.org/wiki/Performance_indicator) and the SMART criteria (https://en.wikipedia.org/wiki/SMART_criteria).

Here are some of my favorite horror stories how things went wrong due to bad data:

https://www.simscale.com/blog/2017/12/nasa-mars-climate-orbiter-metric/

(A blog post with examples – including the classic NASA mishap – of how things go wrong when people get data types wrong.)

This video demonstrates differences between a relational database and an Excel spreadsheet for storing data.

https://youtu.be/iKK3P11OCyM

Here is a short clip explaining how relative cell references differ from absolute cell references in Excel.

Here is also a link to my Excel demo spreadsheet.

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

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

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

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.