Leveraging Data Science for Supply Chain Agility
Master data science skills to optimize supply chain agility through advanced analytics and practical implementations.
Master data science skills to optimize supply chain agility through advanced analytics and practical implementations.
This specialization focuses on applying data science techniques to enhance supply chain agility over three comprehensive courses. Students learn to analyze historical data for inventory management, implement optimization techniques, and use Monte Carlo simulations for risk assessment. The program combines theoretical knowledge with hands-on Excel applications, covering essential topics from demand forecasting to resource optimization. Designed for professionals with supply chain experience, it provides practical tools to transform raw data into actionable insights for better decision-making.
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What you'll learn
Analyze historical data for inventory management in various demand scenarios. Master optimization techniques for capacity and resource allocation. Implement Monte Carlo simulations for risk assessment. Develop data-driven demand planning strategies. Create effective inventory management systems. Optimize supply chain efficiency through data analysis.
Skills you'll gain
This course includes:
18 Hours PreRecorded video
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FullTime access
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There are 3 courses in this program
Product Management in Climate & Demographic Shifts
Course 1 · 3 Months to complete · 2 modules
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Course 2 · 38 Hours to complete · 5 modules
Managing Uncertainty in Marketing Analytics
Course 3 · 10 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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