Supply Chain Analytics
( 24 Modules )

Module #1
Introduction to Supply Chain Analytics
Overview of supply chain analytics, importance, and applications

Module #2
Supply Chain Fundamentals
Basics of supply chain management, including supply chain components, flows, and performance metrics

Module #3
Data Analysis in Supply Chain
Introduction to data analysis concepts and techniques for supply chain analytics

Module #4
Supply Chain Data Sources
Types of data sources in supply chain analytics, including ERP, CRM, and IoT data

Module #5
Data Preprocessing for Supply Chain Analytics
Data cleaning, transformation, and preprocessing techniques for supply chain data

Module #6
Descriptive Analytics in Supply Chain
Descriptive analytics techniques for supply chain data, including data visualization and summary statistics

Module #7
Inferential Analytics in Supply Chain
Inferential analytics techniques for supply chain data, including hypothesis testing and confidence intervals

Module #8
Predictive Analytics in Supply Chain
Predictive analytics techniques for supply chain data, including regression and time series analysis

Module #9
Prescriptive Analytics in Supply Chain
Prescriptive analytics techniques for supply chain data, including optimization and simulation

Module #10
Supply Chain Visualization
Data visualization techniques for supply chain data, including dashboards and reports

Module #11
Network Analysis in Supply Chain
Network analysis techniques for supply chain data, including node centrality and community detection

Module #12
Demand Forecasting in Supply Chain
Demand forecasting techniques for supply chain data, including time series and machine learning methods

Module #13
Inventory Optimization in Supply Chain
Inventory optimization techniques for supply chain data, including EOQ and lot-sizing methods

Module #14
Supply Chain Risk Management
Supply chain risk management techniques, including risk assessment and mitigation strategies

Module #15
Transportation Analytics in Supply Chain
Transportation analytics techniques for supply chain data, including route optimization and fleet management

Module #16
Warehouse Management Analytics
Warehouse management analytics techniques for supply chain data, including layout optimization and inventory allocation

Module #17
Sourcing and Procurement Analytics
Sourcing and procurement analytics techniques for supply chain data, including vendor selection and contract management

Module #18
Supply Chain Sustainability Analytics
Supply chain sustainability analytics techniques for supply chain data, including carbon footprint analysis and sustainable sourcing

Module #19
Machine Learning in Supply Chain Analytics
Machine learning techniques for supply chain data, including supervised and unsupervised learning methods

Module #20
Artificial Intelligence in Supply Chain Analytics
Artificial intelligence techniques for supply chain data, including natural language processing and computer vision

Module #21
Blockchain in Supply Chain Analytics
Blockchain technology and its applications in supply chain analytics, including track and trace and smart contracts

Module #22
Cloud Computing and Supply Chain Analytics
Cloud computing and its applications in supply chain analytics, including scalability and data storage

Module #23
Case Studies in Supply Chain Analytics
Real-world case studies of supply chain analytics applications, including success stories and lessons learned

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Supply Chain Analytics career

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Supply Chain Analytics ( 24 Modules )

Supply Chain Analytics
( 24 Modules )