Data Analytics for Sustainable Supply Chains
( 30 Modules )

Module #1
Introduction to Sustainable Supply Chains
Overview of sustainable supply chain management and its importance

Module #2
Data Analytics for Supply Chain Decision-Making
Basics of data analytics and its application in supply chain management

Module #3
Supply Chain Data Sources and Systems
Overview of data sources and systems used in supply chain management

Module #4
Sustainable Supply Chain Metrics and Indicators
Introduction to key performance indicators (KPIs) for sustainable supply chains

Module #5
Data Quality and Governance in Supply Chains
Importance of data quality and governance in sustainable supply chain management

Module #6
Descriptive Analytics for Supply Chain Data
Using descriptive analytics to understand supply chain data

Module #7
Diagnostic Analytics for Supply Chain Issues
Using diagnostic analytics to identify supply chain issues

Module #8
Predictive Analytics for Supply Chain Forecasting
Using predictive analytics for supply chain forecasting and planning

Module #9
Prescriptive Analytics for Supply Chain Optimization
Using prescriptive analytics for supply chain optimization and decision-making

Module #10
Data Visualization for Supply Chain Insights
Using data visualization to communicate supply chain insights and results

Module #11
Sustainable Sourcing and Procurement Analytics
Applying data analytics to sustainable sourcing and procurement

Module #12
Logistics and Transportation Optimization
Using data analytics to optimize logistics and transportation for sustainability

Module #13
Inventory Management and Reduction Strategies
Applying data analytics to inventory management and reduction strategies

Module #14
Supply Chain Risk Management and Resilience
Using data analytics to manage supply chain risk and build resilience

Module #15
Circular Economy and Closed-Loop Supply Chains
Applying data analytics to circular economy and closed-loop supply chains

Module #16
Machine Learning and Artificial Intelligence in Supply Chains
Applying machine learning and AI to supply chain data analytics

Module #17
Blockchain and Supply Chain Transparency
Using blockchain technology for supply chain transparency and traceability

Module #18
Digital Twin and Supply Chain Simulation
Applying digital twin and simulation to supply chain optimization

Module #19
Case Studies in Sustainable Supply Chain Analytics
Real-world examples of sustainable supply chain analytics in practice

Module #20
Implementing Data Analytics in Sustainable Supply Chains
Best practices for implementing data analytics in sustainable supply chains

Module #21
Food Supply Chain Analytics for Sustainability
Applying data analytics to food supply chain sustainability

Module #22
Pharmaceutical Supply Chain Analytics for Sustainability
Applying data analytics to pharmaceutical supply chain sustainability

Module #23
Retail Supply Chain Analytics for Sustainability
Applying data analytics to retail supply chain sustainability

Module #24
Manufacturing Supply Chain Analytics for Sustainability
Applying data analytics to manufacturing supply chain sustainability

Module #25
Agricultural Supply Chain Analytics for Sustainability
Applying data analytics to agricultural supply chain sustainability

Module #26
Capstone Project:Developing a Sustainable Supply Chain Analytics Solution
Applying course concepts to a real-world sustainable supply chain analytics project

Module #27
Final Assessment:Written Exam and Case Study
Final assessment of course knowledge and application

Module #28
Peer Review and Feedback
Peer review and feedback on capstone projects

Module #29
Course Wrap-Up and Next Steps
Course wrap-up and next steps for applying data analytics to sustainable supply chains

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Data Analytics for Sustainable Supply Chains career

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Data Analytics for Sustainable Supply Chains ( 30 Modules )

Data Analytics for Sustainable Supply Chains
( 30 Modules )