Global Certificate Data-Driven Inventory Planning

Name: Global Certificate Data-Driven Inventory Planning
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The Global Certificate in Data-Driven Inventory Planning is a comprehensive course that equips learners with essential skills for career advancement in today's data-driven world. This course emphasizes the importance of data-driven decision-making in inventory planning, a critical function in various industries, including manufacturing, retail, and e-commerce.

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À propos de ce cours

In this course, learners acquire the knowledge and tools necessary to optimize inventory levels, reduce costs, and improve customer satisfaction. Topics covered include demand forecasting, inventory modeling, and supply chain management. Learners will also gain hands-on experience with industry-standard tools and techniques, such as Excel, regression analysis, and statistical modeling. With the increasing demand for data-driven decision-making in inventory planning, this course provides learners with a competitive edge in the job market. Graduates of this course can expect to advance their careers in various roles, including inventory analyst, supply chain manager, and operations analyst, among others.

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Détails du cours

• Data Analysis for Inventory Planning: Understanding how to analyze data to make informed inventory decisions is crucial. This unit covers data cleaning, exploration, and visualization techniques to help planners make data-driven decisions.
• Demand Forecasting: This unit covers various demand forecasting methods, including quantitative and qualitative techniques. It also discusses the importance of historical data, market trends, and seasonality in demand forecasting.
• Inventory Management Metrics: This unit introduces various metrics used in inventory management, such as inventory turnover, stockout rate, and fill rate. It also covers how to use these metrics to measure performance and make data-driven decisions.
• Supply Chain Management: This unit covers the basics of supply chain management and its role in inventory planning. It discusses the importance of supplier relationships, lead times, and safety stock in managing inventory.
• Inventory Optimization Techniques: This unit covers various inventory optimization techniques, such as the economic order quantity (EOQ) model, reorder point policy, and safety stock calculation. It also discusses the advantages and disadvantages of each technique.
• Technology in Inventory Planning: This unit covers the role of technology in inventory planning, including the use of software tools for demand forecasting, inventory optimization, and supply chain management. It also discusses the benefits and challenges of implementing technology solutions in inventory planning.
• Risk Management in Inventory Planning: This unit covers the various risks associated with inventory planning, such as demand variability, supply chain disruptions, and obsolescence. It also discusses strategies for managing these risks and mitigating their impact on inventory management.
• Sustainability in Inventory Planning: This unit covers the importance of sustainability in inventory planning and management. It discusses the environmental and social impact of inventory management practices and strategies for reducing waste and promoting sustainability.
• Case Studies in Data-Driven Inventory Planning: This unit presents real-world case studies of

Parcours professionnel

This section highlights the job market trends in the inventory planning sector, specifically focusing on the UK. A 3D pie chart is utilized to visually represent the data. The primary job roles featured in this chart include Data Scientist, Data Analyst, Inventory Analyst, Supply Chain Planner, and Business Intelligence Developer. The percentage values displayed in the chart correspond to the demand for each role in the job market. The Google Charts library is leveraged to create a dynamic and responsive chart that adapts to various screen sizes. The chart's background has been set to transparent without any added background color, ensuring the content remains visually appealing.

Exigences d'admission

Compréhension de base de la matière
Maîtrise de la langue anglaise
Accès à l'ordinateur et à Internet
Compétences informatiques de base
Dévouement pour terminer le cours

Aucune qualification formelle préalable requise. Cours conçu pour l'accessibilité.

Statut du cours

Ce cours fournit des connaissances et des compétences pratiques pour le développement professionnel. Il est :

Non accrédité par un organisme reconnu
Non réglementé par une institution autorisée
Complémentaire aux qualifications formelles

Vous recevrez un certificat de réussite en terminant avec succès le cours.

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GLOBAL CERTIFICATE DATA-DRIVEN INVENTORY PLANNING

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qui a terminé un programme à

London School of International Business (LSIB)

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05 May 2025

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