Course details
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Here is the list of units for the Career Advancement Programme in Predictive Analytics for Logistics Planning:
• Algorithmic Fundamentals of supply chain analytics
• Designing and implementing predictive models for demand forecasting
• Excel-based data analysis and visualization techniques for supply chain data
• Python programming for data manipulation and analysis in predictive analytics
• Statistical inference and testing for predictive analytics models
• Data mining and machine learning techniques for pattern recognition in supply chain data
• Advanced techniques for demand forecasting using machine learning and deep learning
• Case studies and real-world applications of predictive analytics in supply chain management
• Data quality control and data wrangling for data integrity in predictive analytics
4.5-v intake on networking and collaboration in the logistics industry
4.3-v certificate in Data Analytics for supply chain management
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