Operations & Supply Chain Analytics

Data-driven inventory, logistics, demand planning and process improvement.

Supply Chain Analytics Specialization (Rutgers)

A beginner-friendly, six-course Rutgers specialization that teaches supply chain problem framing, forecasting, inventory and sourcing analytics.

Excel

MITx MicroMasters Program in Supply Chain Management

Operations & Supply Chain Analytics

A graduate-level MIT sequence of five courses plus a final exam covering supply chain analytics, design, dynamics and technology, taught online.

Operations Analytics (Wharton)

Operations & Supply Chain Analytics

A beginner-friendly Wharton course on using Excel, forecasting, optimization, simulation, and decision trees to match supply with demand.

Excel

Demand Planning & Forecasting - Best Practices

Operations & Supply Chain Analytics

A 3h 20m Udemy course on demand planning and forecasting practice: accuracy metrics, model selection, outlier handling, and demand reviews.

Excel

Lean Six Sigma Green Belt Online Course with Python

Operations & Supply Chain Analytics

Learn Green Belt Lean Six Sigma methods and run the statistical analysis in Python, with no coding background needed, in about 17 hours of video.

Python

Operations analytics targets cost, service level and throughput. These courses cover demand planning and inventory policy, safety stock and reorder points, supplier and logistics performance measurement, capacity and bottleneck analysis, and process improvement frameworks such as Lean and Six Sigma supported by data. You will work with the trade-offs that define the field, where holding cost is set against stockout risk and speed against unit economics. Practical for supply chain planners, manufacturing and operations managers, and analysts supporting them, particularly in businesses where a small forecasting improvement releases significant working capital.