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blog > authors > Michael Goldman
Michael Goldman

Michael Goldman

Michael Goldman is an experienced data analyst with a background in economics, mathematics, and computer science (Python, R, SQL, Stata, Java, and VBA). He has worked as a Data Analyst for NERA Economic Consulting, providing expert testimony and consulting in applied economics. Data Science combines his passions for programming, analytics, and econometrics. At NYCDS, Michael developed his skills in Python, R, data visualization, and predictive modeling. He mapped over 1.2 million crimes in NYC from 2006 to 2016, scraped Glassdoor for information on skills and salaries of data science job postings, and classified and analyzed criminal behavior using police data.

Articles Contributed by Michael Goldman

Machine Learning

Ames Housing Price Predictions - Model Ensembling

by Andrew Dodd, Roger Ren, Michael Goldman and Xiaoyu Yang
Mar 10, 2018
Introduction The purpose of this project was to create an accurate model for Ames, Iowa home prices from...
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Python

How Many Data Science Jobs Are There? A Scrape of Glassdoor

by Michael Goldman
Feb 27, 2018
Abstract Once we all graduate from NYC Data Science Immersive Program, we will have become data scientists. We...
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Big Data

NYC's Seven Major Felonies - What, Where, and When

by Michael Goldman
Feb 5, 2018
 Illustration by Greg Groesch/The Washington Times My Motivation Even though people in New York City are street-smart, crime...
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