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NYC Data Science Acedemy | Blog
On Campus
  • Full Time
  • Data Science Bootcamp
  • Part Time
  • View All Courses
  • Introductory
  • Introductory Python
  • R for Business Analysts
  • Data Science with Tableau
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  • Data Science with R: Data Analysis and Visualization
  • Big Data with Hadoop and Spark
  • Intermediate
  • Data Science with R: Machine Learning
  • Data Science with Python: Machine Learning
  • Deep Learning
  • Machine Learning in Finance
    • Online
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  • Data Science with R: Machine Learning
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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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    Student Works

    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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    R

    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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