This course, Logistics Data Analysis, provides a comprehensive introduction to using data analytics to optimize logistics and supply chain operations. It covers key concepts such as data collection and preparation, statistical analysis, predictive modeling, and data visualization. You'll learn how to work with real-world logistics data, apply tools like Python, Excel, and Power BI, and use analytics to improve transportation efficiency, inventory management, and supply chain decision-making. The course also explores industry case studies, best practices, and hands-on projects to equip you with the practical skills needed to succeed as a logistics data analyst.