Subject archive for "data-analysis," page 2
Racial Bias in Policing: An Analysis of Illinois Traffic Stop Data
Mollie Pettit, Data Scientist and D3.js Data Visualization Instructor with Metis, walks data scientists through analysis of Illinois police traffic stop data, presenting a story narrative of Chicago in 2016. Pettit also discusses how, and shows why, data scientists need to be thoughtful and aware of assumptions when analyzing data and presenting a story narrative.
By Domino14 min read
Data Quality Analytics
Scott Murdoch, PhD, Director of Data Science at HealthJoy, presents how data scientists can use distribution and modeling techniques to understand the pitfalls in their data and avoid making decisions based on dirty data.
By Domino17 min read
Fuzzy Matching to the Rescue
Jennifer Shin is the Founder & Chief Data Scientist at 8 Path Solutions. Jennifer is on the faculty in the data science graduate program at UC Berkeley, on the Advisory Board for the M.S. in Data Analytics program at the City University of New York, and teaches business analytics and data visualization in the graduate program at NYU. At a Data Science Popup, Jennifer delivered an introduction to approximate string matching, or fuzzy matching. This blog post covers a session summary, a video of the entire session, and a video transcript of the presentation. If you are interested in attending a future Data Science Popup, the next event is November 14th in Chicago.
By Domino30 min read
What Your CIO Needs to Know about Data Science
What would you rather be doing? Data science or DevOps?
By Domino4 min read
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