“Thinking about how we collect data, how we use data, and how it affects people is part of the obligation of being in data science.” – Elaine McVey This is the first interview in a series called Datalines that explores data science careers in the social sector. The idea for Continue reading Datalines: An interview with Elaine McVey
“Music is a world within itself, it is a language we all understand.” – Stevie Wonder Like Stevie Wonder said, music is a powerful language that has united the world through culture, politics, and ultimately as a form of expression. Its power throughout time cannot be disputed, specifically in its Continue reading Songs Over the Decades – A Text Mining Analysis
Each class in the MSA program has less than a year to both master analytics and pursue our ideal job, so I want to get involved with as many diverse analytics-oriented events as possible. Overall, I’m enthusiastic about the value of several local meetups to broaden my experience with analytics. Continue reading Analytics Meetup Groups
Data science is a much debated and comparatively new term in the realm of data analysis and statistics. As the students of the MSA class of 2016 graduate, many of us will start working under the designation of ‘data scientist.’ But, as William Shakespeare said, “What’s in a name?” I Continue reading What is Data Science?
Take an inside look at how often certain students participate in spring classes and who interacts in the same class. Names have been changed for privacy. Key Findings The average student participated in class with 13 other students The 4 students who participated the most did not always participate Continue reading Master of Participation in Analytics
If you are a villain in the Marvel Cinema Universe (MCU), good luck surviving long enough to be a staple in the movie franchise. A select few actors have been fortunate enough to make an appearance in 4 or more of the Marvel Comic Universe movies, with Robert Downey Jr. Continue reading Marvel Cinema Universe Network Analysis