Forecasting, Behavioral Analysis, and What-If Scenarios with Python (TTPS4883)

Forecasting, Behavioral Analysis, and What-If Scenarios with Python is an advanced three-day course that combines the power of forecasting, behavioral analysis, and what-if scenario analysis using Python. The course equips data analysts, data scientists, and business professionals with the skills and techniques required to analyze historical data, identify behavioral patterns, forecast future trends, and conduct what-if scenario analysis to evaluate potential outcomes.Working in a hands-on learning environment led by out expert practitioner, you’ll explore advanced Python libraries and techniques for forecasting, behavioral analysis, and what-if scenario modeling. The course covers advanced forecasting methods such as time series analysis, regression-based forecasting, and machine learning-based forecasting. Participants will also learn how to analyze behavioral patterns through clustering, segmentation, and sentiment analysis. In addition, the course introduces what-if scenarios, enabling participants to simulate and evaluate different scenarios to make informed decisions.