Mastering Logistics & Supply Chain Strategy Skills Specialization | Coursera

Mastering Logistics & Supply Chain Strategy Skills Specialization

Course Overview

This specialization provides a complete learning pathway for mastering logistics and supply chain management in today’s interconnected global markets. Through three in-depth, industry-relevant courses, you will learn to design efficient systems, analyze performance using data-driven methods, and develop sustainable strategies that align with modern supply chain goals. You will explore critical areas such as inventory control, procurement, transportation, risk management, and sustainability while applying analytical frameworks like PESTLE, IRIC, and triad analysis. This program is designed for professionals, business leaders, and students seeking to strengthen their expertise in supply chain strategy and logistics operations.

Course Details:

• Language: English with subtitles
• Duration: 100 lessons (12 hours and 51 minutes total)
• File Size: 2.56 GB

What You Will Learn:

• Design and optimize logistics systems that align with strategic supply chain goals
• Apply analytical frameworks to assess global logistics performance and risks
• Develop data-driven strategies for sustainable and efficient supply chains

Skills You Will Gain:

• Supply Chain Planning
• Transportation Operations
• E-Commerce Management
• Systems Thinking
• Operational Efficiency
• Logistics Management
• Supplier Management
• Business Administration
• Process Design
• Transportation Management
• Supply Chain and Business Operations
• Performance Measurement
• Market Analysis
• Operations Management
• Supply Chain Systems and Business Planning

Applied Learning Project

Learners will participate in case-based projects that simulate real-world logistics and supply chain challenges.

You will identify operational gaps, apply strategic frameworks, and design end-to-end systems that optimize cost, performance, and global integration. These projects will help you apply classroom concepts to practical, data-driven problem-solving in a professional context.