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Dem& Forecasting Analytics
Post Graduate Program in Logistics
Explore Dem& Forecasting Analytics as part of Post Graduate Program in Logistics. Read the syllabus and available chapters online.
Academic programmePost Graduate Program in Logistics
LevelPost Graduate
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01
Dem& Forecasting AnalyticsSyllabus
02Foundations Of Demand ForecastingChapter 1
03Demand Drivers And Forecasting ContextChapter 2
04Forecasting Data And Data PreparationChapter 3
05Statistical Foundations And Forecast UncertaintyChapter 4
06Time Series Structure And Classical ModelsChapter 5
07Causal Econometric And Judgmental ForecastingChapter 6
08Machine Learning And Ai For Demand ForecastingChapter 7
09Specialized Demand Forecasting ProblemsChapter 8
10Hierarchical Multilevel And Forecast Combination MethodsChapter 9
11Forecast Accuracy Validation And Model SelectionChapter 10
12Forecasting Process And Organizational IntegrationChapter 11
13Forecast Driven Logistics And Inventory DecisionsChapter 12
14Forecasting Technology And Digital TransformationChapter 13
15Governance Ethics And Strategic Future DirectionsChapter 14
16Forecasting Systems Governance And Future DevelopmentsChapter 15