About Course
Module 1: Types of Forecasting – Quantitative (Patient-Based, Demand-Based, Patient-Flow) & Qualitative; optional therapy area overview
Module 2: Tools in forecasting, ad-hoc vs portfolio projects
Module 3: Epidemiology & Application – Prevalence, incidence, diagnosed prevalence, cumulative incidence, acute vs chronic filters, data sources (WHO, PubMed, Globocan, SEER, Clarivate, IQVIA), SLR based approach
Module 4: Quantitative Forecasting
– Patient-Based: Approaches, forecast type, share distribution, adoption, cannibalization, event scenarios (LOE, generics, competitor launch), units/volume
– Demand-Based: Time series analysis, ETS, Linear Trend, Moving Average, scenario & sensitivity analysis, Excel simulations
– Patient-Flow (Oncology): Line-of-therapy modeling, shadowing, bolus, progression, adoption curves, scenario & sensitivity analysis, treated patients/units
Module 5: Integrated Case Study – Apply all three forecasts, scenario & sensitivity analyses, commercial insights
Module 6: Submission, Correction & Career Prep – Project review, resume building, interview preparation
Module 7: Certification – Practical forecasting and scenario analysis skills