Time Series Analysis in Python


Details
Topic: This meetup will give a general overview of time series forecasting methodologies, then delve into implementing exponential smoothing in Python.
6:45 pm Meet and Mingle
7:00 pm Talk Begins
Speaker: Andrea Fabry, Galvanize FT Data Science Immersive Graduate
Andrea Fabry is a fundraiser turned data scientist with a lifelong interest in how products move in an interconnected world. Before joining the immersive data science program at Galvanize, she completed a MicroMasters in supply chain analytics and modeling from MITx. Her true passion is building mathematical models for decision making about how companies should make, stock, and deliver their products to customers. Since accurate demand forecasts are critical to supply chain planning, she works with companies testing various forecasting models from ARIMA to statistical machine learning. When not in front of her computer, Andrea likes to travel to off-the-beaten-path destinations from warehouses through public transportation hubs to coal mines.

Time Series Analysis in Python