Explore structured courses in Statistics and Supply Chain Management. Each course is broken into focused chapters with interactive content, practice problems, and real-world applications.
Build a strong statistical foundation from descriptive stats through advanced methods.
Summarize, visualize, and interpret data distributions.
Hypothesis testing, confidence intervals, correlation, regression, and chi-square tests.
ANOVA, multiple regression, logistic regression, time series, and Monte Carlo simulation.
Study how purchasing, inventory, transport, and strategy fit together.
Supply chain structure, flows, and performance metrics.
Forecasting, EOQ, safety stock, and inventory policies.
Supplier selection, contracts, and strategic sourcing.
Warehouse ops, routing, modal selection, and 3PL management.
Network design, outsourcing, sustainability, and risk.
Data-driven SCM, simulation, blockchain, and AI applications.
Performance measurement, forecasting, inventory, network design, and simulation.
Trade compliance, currency risk, and cross-border operations.
End-to-end case study integrating all SCM disciplines.
Turn business and supply chain data into decisions with applied analytics.