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Operations Management 101: An Introduction to Time Series Forecasting

https://www.youtube.com/watch?v=EaqZP36ool8
This video transcript discusses time series forecasting, which is the science and art of predicting events or data measurements in the future. It helps to recognize and adjust for data patterns such as trends, seasonality, cycles, and irregular events. Examples of time series forecasting include weather forecasts, stock market forecasts, college enrollment forecasts, iPhone sales, and hurricane tracking. The episode also reviews the introduction to time series forecasting, including an example of an irregular pattern, the "Flash Crash" of the stock market on May 6, 2010, which was caused by a computer error.
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