Machine Learning for Supply Chains

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Machine Learning for Supply Chains provided by Coursera is a comprehensive online course, which lasts for 13 weeks long, 5 hours a week. Machine Learning for Supply Chains is taught by Neelesh Tiruviluamala and Rajvir Dua. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • This specialization is intended for students who wish to use machine language to analyze and predict product usage and other similar tasks. There is no specific prerequisite but some general knowledge of supply chain will be helpful, as well as general statistics and calculus.

Syllabus
  • Course 1: Fundamentals of Machine Learning for Supply Chain
    - Offered by LearnQuest. This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even ... Enroll for free.

    Course 2: Demand Forecasting Using Time Series
    - Offered by LearnQuest. This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we ... Enroll for free.

    Course 3: Advanced AI Techniques for the Supply Chain
    - Offered by LearnQuest. In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the ... Enroll for free.

    Course 4: Capstone Project: Predicting Safety Stock
    - Offered by LearnQuest. In this course, we'll make predictions on product usage and calculate optimal safety stock storage. We'll start with ... Enroll for free.