Global Certificate in Demand Forecasting for Supply Chain Optimization

• Introduction to Demand Forecasting: Basic concepts, importance, and benefits of demand forecasting in supply chain optimization.
• Data Analysis for Demand Forecasting: Data collection, preparation, and analysis techniques for accurate demand forecasting.
• Statistical Methods in Demand Forecasting: Time series analysis, regression analysis, and other statistical methods for demand forecasting.
• Machine Learning Techniques for Demand Forecasting: Artificial intelligence, neural networks, and other machine learning methods to improve forecasting accuracy.
• Supply Chain Optimization: Fundamentals of supply chain management and optimization strategies.
• Integrating Demand Forecasting and Supply Chain Optimization: Strategies to align demand forecasting with supply chain management for optimal results.
• Monitoring and Evaluating Demand Forecasting and Supply Chain Performance: Techniques for tracking and improving the accuracy of demand forecasting and supply chain optimization.
• Case Studies and Real-World Applications: Real-world examples and case studies of successful demand forecasting and supply chain optimization.
• Ethical and Legal Considerations in Demand Forecasting: Ethical and legal considerations in collecting, storing, and using data for demand forecasting and supply chain optimization.