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Fortune-Telling with Python: An Intro to Time Series Modeling By: Jonathan Balaban
Date: Aug. 10, 2017, 6 p.m.
Description: a pythonic tour of time series methodologies and packages, including ARIMA, seasonal models, and Markov approaches. Intermediate level with basic statistics and time data familiarity required. Bio: Jonathan Balaban is a senior data scientist, strategy consultant, and entrepreneur with ten years of private, public, and philanthropic experience. He currently teaches business professionals and leaders the art of impact-focused, practical data science at Metis.
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