Deep dives into optimization techniques, data analytics methodologies, and practical applications for e-commerce and business intelligence.
Learn how linear and integer programming can solve complex resource allocation problems and drive optimal business decisions.
Explore network optimization techniques including shortest path, maximum flow, and minimum spanning tree algorithms for real-world applications.
Understand how marketing mix modeling helps attribute sales to marketing channels and optimize budget allocation for maximum ROI.
Discover how dynamic programming solves sequential decision-making problems in inventory management and demand forecasting.
Learn how machine learning models predict customer behavior, optimize pricing, and forecast demand in e-commerce operations.
Explore Monte Carlo simulation, discrete event simulation, and queueing theory for risk analysis and process optimization.
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