Supply Chain Analytics Specialization | Coursera

Supply Chain Analytics: Master Data-Driven Decision Making

Course Overview:

This specialization is designed for professionals who want to integrate supply chain management with data analytics to make smarter and more strategic decisions.

Through six comprehensive modules, you will explore real-world challenges across every stage of the supply chain, from sourcing and production to logistics and sales. You will also learn how to use analytics to improve efficiency, accuracy, and profitability.

Course Details

• Language: English with subtitles
• Duration: 124 lessons (10 hours total)
• File Size: 1.6 GB

What You Will Learn

• Understand the main pain points in modern supply chains and how analytics can help solve them
• Identify job opportunities and skill requirements in supply chain analytics
• Discover and prioritize business problems in competitive environments
• Plan for demand and supply using analytical forecasting methods
• Design effective logistics and distribution strategies for large-scale systems

Skills You Will Gain

• Competitive Intelligence
• Strategic Decision Making
• Regression Analysis
• Data Collection and Data Analysis
• Inventory Control and Accounting
• Supplier Management and Performance Evaluation
• Demand and Customer Planning
• Procurement and Strategic Sourcing
• Business Intelligence and Business Analytics
• Supply Chain Management and Optimization
• Data Storytelling and Competitive Analysis

Course Modules

1. Supply Chain Analytics Essentials - Learn to identify supply chain challenges, understand the role of analytics in solving them, and explore career opportunities in this field.
2. Business Intelligence and Competitive Analysis - Apply data analytics to evaluate competition, uncover business opportunities, and make informed strategic decisions.
3. Demand Analytics - Use analytical tools to forecast demand, plan production, and align supply with customer needs.
4. Inventory Analytics - Analyze and resolve inventory-related problems as part of Sales and Operations Planning.
5. Sourcing Analytics - Leverage market intelligence, bargaining power analysis, and supplier evaluation to select and manage vendors effectively.
6. Supply Chain Analytics - Design efficient logistics strategies and optimize large-scale distribution networks using advanced analytics.

Applied Learning Project

Learners will complete practical projects focused on job market analysis, business intelligence, demand forecasting, logistics optimization, inventory management, and supplier analytics. These projects will strengthen your diagnostic, predictive, and prescriptive analytics skills using industry-relevant tools and datasets.