Professional Certificate in Data-driven Supply Chain Management.

• Introduction to Data-driven Supply Chain Management: Fundamentals of data-driven decision making, supply chain management, and the role of data in optimizing operations.
• Data Analysis for Supply Chain Management: Techniques for analyzing supply chain data, including descriptive, diagnostic, predictive, and prescriptive analytics.
• Supply Chain Data Management: Best practices for collecting, storing, and managing supply chain data, including data governance and data quality.
• Machine Learning for Supply Chain Optimization: Overview of machine learning algorithms and techniques for optimizing supply chain operations.
• Supply Chain Visibility and Analytics: Methods for increasing supply chain visibility and using analytics to improve decision making.
• Data-driven Inventory Management: Techniques for managing inventory using data-driven decision making, including demand forecasting and safety stock management.
• Supply Chain Risk Management: Approaches for identifying, assessing, and mitigating risks in the supply chain using data analytics.
• Data-driven Logistics and Transportation Management: Strategies for optimizing logistics and transportation operations using data analytics, including route optimization and capacity planning.
• Data-driven Supplier Management: Methods for selecting, managing, and evaluating suppliers using data analytics.

Note: The above list is not exhaustive and the actual course content may vary depending on the training provider.