Blog

Here is a simple introduction to the concepts behind MapReduce and Hadoop Big Data technologies.

https://youtu.be/43fqzaSH0CQ

Note that the products themselves are less interesting than the idea of how we can process huge amounts of data effectively.

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 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.

https://youtu.be/iDg9s7BJ2m4

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

https://youtu.be/iKK3P11OCyM

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.)

Differences between infographics and data visualizations are discussed in this blog post:

https://www.statsilk.com/blog/real-difference-between-infographics-and-data-visualizations

We use Piktochart to create an infographic on MIS0855, but there a numerous other web-based tools available:

https://www.creativebloq.com/infographic/tools-2131971

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.

…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