IDEAS SoCal AI & Data Science Conference 2018

7 years ago , a consulting assignment for demand forecasting for one of our client sent us on a wild goose chase and brought some interesting actionable insights for our client. I am planning to do a working session with real world like data to derive insights while guiding the attendees on common pitfalls. We had done our initial analysis in SPSS, but I am planning to do the session on R/Python .
Agenda:
1) Introduction to Demand Forecasting Concepts - 5 mins
2) Algorithms typically used for Demand forecasting - 5mins
3) Introduce the data , business context - 5 mins
4) Tasks include cleaning data for outliers, null values, modelling - 30 mins
5) Analysis of Results and model selection - 5 mins
6) Analysis of Residual Error - 5 mins
7) Other Insights - 5 mins