Forecasting

The main aim of this course is to learn how to use Python on real forecasting and time series analysis

Learn how to use Python for Forecasting time series data, using ARIMA, Prophet, Statsmodels

Trend Forecasting - From Fads to Fashion in the Digital Age

This is the second of the two reports of the series, Persistent Forecasting of Disruptive Technologies, discussed how technology forecasts were historically made, assessed various existing forecasting systems, and identified desirable attributes of a next-generation persistent long-term forecasting system for disruptive technologies. This second book attempts to sketch out high-level forecasting system designs. In addition, the book provides further evaluation of the system attributes defined in the first report, and evidence of the feasibility of creating a system with those attributes.

Master financial statement integration, DCF valuation, forecasting techniques and risk analysis to build robust models.

6 forecasting models | Sales & Demand Planning | Time Series Analysis | Prophet | ARIMA | Neural Networks | Ensemble