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Career Advancement Programme in Data Science for Demand Optimization
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- Foundations of Demand Forecasting
- Time Series Analysis for Demand Optimization
- Statistical Modeling and Machine Learning for Demand
- Optimization Algorithms and Techniques
- Inventory Management and Supply Chain Optimization
- Data Visualization and Communication of Insights
- Case Studies in Demand Optimization using Python
- Advanced Demand Planning and S&OP (Sales and Operations Planning)
- Demand Forecasting with Deep Learning
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Career Role in Demand Optimization (Data Science) Description Senior Data Scientist, Demand Forecasting Develop and implement advanced forecasting models to optimize inventory and pricing strategies, impacting revenue generation and supply chain efficiency.
Leverages machine learning and statistical modeling.
Demand Planning Analyst, Supply Chain Optimization Analyze sales data, market trends, and external factors to forecast demand, ensuring optimal inventory levels and minimizing stockouts or overstocking.
Focuses on data analysis and reporting.
Data Science Consultant, Pricing & Revenue Management Consult with clients to design and implement data-driven pricing strategies using advanced analytics and machine learning techniques.
Requires strong communication and problem-solving skills.
Machine Learning Engineer, Demand Optimization Build and deploy machine learning models for demand forecasting, inventory optimization, and pricing using cloud-based platforms and big data technologies.
A highly technical role.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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