Here is the link for the week 4 quiz:
https://forms.gle/xnQPqXkSB89792ng6
You need to complete the quiz before our session starts on Monday.
2.2 Submit Your Data Dictionary
Rhiannon Helps With Tableau!
If you have problems getting Tableau Desktop and Prep installed on your computer, get in touch with Rhiannon by email – she will be available to help you:
Monday, 2/6, 3–4pm and 5.20–6pm
Wednesday, 2/8, 3–4pm
Beware of 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
Week 3 reading quiz
Here is the link for the week 3 quiz:
https://forms.gle/54rmVyMre9UjVUFe9
You need to complete the quiz before our session starts on Monday.
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.
Correlation without Causation
Here are some brilliant examples of correlations that surely do not indicate causation!
Week 2 reading quiz
Here is the link for the week 2 quiz:
https://forms.gle/ZrrzF2Y5ieQdSC2N6
You need to complete the quiz before our session starts on Monday.
Welcome to MIS0855 Data Science Course!
Organizations are drowning in data. Huge amounts of data are produced by social media, 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 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