Post your data visualization examples as a comment to this post.
Bad Pies
Look at how to use and not to use pie charts:
https://www.martinraffeiner.blog/using-data-visualizations-bad-guy-pie-charts/
Reading Quiz for Week 4
Submit your answers to the reading quiz by 1/31 before class starts:
Assessing the Trustworthiness of Data
Post the review you found interesting as a comment to this post.
Beware Online Filter Bubbles
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:
…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
Reading Quiz for Week 3
Submit your answers to the reading quiz by 1/24 before class starts:
A Simple Vocabulary of Data Science Concepts
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.
Reading Quiz for Week 2
Submit your answers to the reading quiz by 1/19 before class starts:
Correlation without Causation
Here are some brilliant examples of correlations that surely do not indicate causation!
Welcome to MIS0855 Data Science Course!
Organizations are drowning in data. A huge amount of data are constantly produced by social media services, customer loyalty programs, smartphones and other gadgets, sensor and transportation networks, credit card transactions, government agencies and many other types of data producers. Successful leaders make increasingly to data-driven decisions, solve problems and communicate by skillfully combining large amounts of heterogenous data. This course teaches you to make sense of the world through data and to do data analysis in practice.
–Aleksi, your instructor