Patrick Bischke

The greatest takeaway I have from this course is that data is almost like a form of currency. It has endless applications if utilized correctly and can shape anything from sales to presidential elections. I would tell a future student that this class is all about data applications and a whole lot of tableau.

For Spotify, some columns could be:
Song name
Artist
Album
Genre
Number of plays
Number of likes

How has the growing use of Uber and Lyft affected the rate of drunk drivers in U.S. cities?

Patrick BIschke, June Choi, Rico Le, Colin P Mea

Artificial Intelligence and Machine Learning Awaken

Hal Lonas, the Chief Technology Officer at Webroot, goes into detail about how artificial intelligence and machine learning are being applied in the world today and how it will affect the future of data and businesses. The most interesting thing I found in the…[Read more]

A KPI that I use regularly is the activity tracker rings on my Apple watch. I have to close three rings everyday. One for calories burnt, another for minutes exercised, and another for minutes standing. If I start to slack off, I get notifications with instructions on how to complete my rings for that day. The number of calories is specific and…[Read more]

I have not used Excel too often and haven’t made any of the listed mistakes. However, I think the most important mistake to avoid is clicking “yes” without carefully evaluating the message that says “do you want to remove this from the server?”. This mistake is very costly because not only does it delete data, it also deletes metadata and…[Read more]

Octo Telematics Transforms the Insurance Industry with Machine Learning and Analytics Platform

This article explains how Octo Telematics, a leader in telematics for insurance companies, is improving the insurance industry through machine learning. The article goes into detain about how Octo Telematics’ platform, using…[Read more]

When we were distinguishing in class about good and bad infographics, the most noticeable similarity between the bad infographics was the complexity. Because of this, I believe that the simplification principle is the most important when trying to visualize your data. The main point of data visualization is to make it easy for your viewers to…[Read more]

One industry majorly affected by data science is streaming services such as Netflix. Netflix wants to know everything a user does on their service to form algorithms to recommend movies, shows, and even create new original series to tailor to the preferences of their audience. With more information and big data, Netflix can better find the trends…[Read more]