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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Advanced Analytics in Supply Chains
( 24 Modules )

Module #1
Introduction to Advanced Analytics in Supply Chains
Overview of the importance of analytics in supply chain management and the objectives of the course.
Module #2
Supply Chain Data Management
Best practices for collecting, storing, and processing supply chain data.
Module #3
Data Preprocessing and Cleansing
Techniques for cleaning, transforming, and preparing data for analysis.
Module #4
Descriptive Analytics in Supply Chains
Using descriptive analytics to understand supply chain performance and identify opportunities for improvement.
Module #5
Inferential Statistics for Supply Chain Analysis
Applying inferential statistics to draw conclusions about supply chain data.
Module #6
Predictive Modeling for Supply Chain Forecasting
Using machine learning algorithms for demand forecasting and supply chain planning.
Module #7
Machine Learning for Supply Chain Classification
Applying machine learning algorithms to classify and predict supply chain outcomes.
Module #8
Clustering Analysis for Supply Chain Segmentation
Using clustering algorithms to segment customers, products, and suppliers.
Module #9
Network Analysis for Supply Chain Optimization
Applying network analysis to optimize supply chain design and operations.
Module #10
Simulation Modeling for Supply Chain Risk Analysis
Using simulation modeling to analyze and mitigate supply chain risks.
Module #11
Prescriptive Analytics for Supply Chain Optimization
Using prescriptive analytics to optimize supply chain decisions.
Module #12
Supply Chain Visualization and Storytelling
Effective techniques for communicating insights and results to stakeholders.
Module #13
Inventory Optimization using Advanced Analytics
Using advanced analytics to optimize inventory levels and policies.
Module #14
Transportation Analytics for Route Optimization
Applying advanced analytics to optimize transportation routes and schedules.
Module #15
Supply Chain Risk Management using Advanced Analytics
Using advanced analytics to identify and mitigate supply chain risks.
Module #16
Advanced Analytics for Supplier Selection and Management
Using data analytics to select and manage suppliers.
Module #17
Big Data Analytics for Supply Chain Management
Applying big data analytics to supply chain management.
Module #18
Cloud Computing for Supply Chain Analytics
Using cloud computing to facilitate supply chain analytics.
Module #19
Internet of Things (IoT) for Supply Chain Analytics
Using IoT data to optimize supply chain operations.
Module #20
Artificial Intelligence for Supply Chain Automation
Applying artificial intelligence to automate supply chain processes.
Module #21
Blockchain for Supply Chain Transparency and Trust
Using blockchain technology to enhance supply chain transparency and trust.
Module #22
CASE STUDY:Advanced Analytics in Supply Chain Management
Real-world case study of advanced analytics in supply chain management.
Module #23
Advanced Analytics in Supply Chain Project Management
Using advanced analytics to manage supply chain projects.
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Analytics in Supply Chains career


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