Online Course – LearnQuest Certified Professional Specialization in Machine Learning for Supply Chains

Discover how to use machine learning to analyze and predict retail inventory in the supply chain. Learn advanced techniques to improve supply chain efficiency.

Suggested by: Coursera (What is Coursera?)

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קורס אונליין - התמחות מקצועית מוסמכת במכונות למידה לשרשרות אספקה של LearnQuest

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Project planning
  • Time management
  • Communication skills
  • Troubleshooting
  • Teamwork
  • Creative thinking
  • Research and data analysis
  • leadership
  • Decision Making
  • Negotiation skills

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Machine Learning Expert
  • Forecasting Analyst
  • Information Technology Project Manager
  • Supply Chain Specialist
  • Business Performance Analyst
  • Algorithm developer
  • Retail Data Analyst
  • Data Technology Consultant

Internship – 4-part course series

General description

This specialization is designed for students interested in using machine learning to analyze and predict product usage and similar tasks. No specific prerequisites are required, but general knowledge of supply chain, as well as basic statistics and differentials, can be helpful.

Hands-on Learning Project

You will learn and apply skills as you progress through each course, using the Coursera learning environment. The final course is a capstone project where you will analyze data and make predictions about retail product usage, then calculate optimal security storage.

Details of the courses that make up the specialization

Machine Learning Fundamentals for Supply Chain

Course 1

  • 13 hours
  • 3.8 (33 ratings)

Course Details

What you’ll learn:
  • Learn to combine, clean, and manipulate data using Python libraries like Numpy and Pandas.
  • Become familiar with basic and advanced Python functions such as importing and using modules, assigning lists, and learning functions.
  • Solve a supply chain cost optimization problem using linear programming with Pulp.
Skills you will gain:
  • Category: Data Science
  • Category: Numpy
  • Category: Pandas
  • Category: Linear Programming (LP)
  • Category: Supply Chain

Demand forecasting using time series

Course 2

  • 9 hours
  • 3.2 (26 ratings)

Course Details

What you’ll learn:
  • Build ARIMA models in Python to make demand forecasts.
  • Develop the framework for more advanced neural networks (such as LSTMs) by understanding autocorrelation and autoregressive models.
Skills you will gain:
  • Category: Python Programming
  • Category: Autoregressive Integrated Moving Average (ARIMA)
  • Category: Time series
  • Category: Machine Learning
  • Category: Demand Forecast

Advanced AI techniques for the supply chain

Course 3

  • 22 hours
  • 3.5 (11 ratings)

Course Details

What you’ll learn:
  • In this course, we will learn about advanced machine learning methods designed to solve supply chain problems.
  • We will start with an overview of different machine learning paradigms (regression/classification) and where the latest models fit this distribution.
  • Then go deep into some specific techniques and use cases, such as using neural networks to predict product demand and random forests to sort products.
  • An important part of using these models is understanding their assumptions and the required preprocessing steps.
  • We will end with a project that includes advanced techniques with an image sorting problem to find defective products in a machine.
Skills you will gain:
  • Category: Bias–Variance Priorities Trading
  • Category: Machine Learning
  • Category: Supply Chain
  • Category: Natural Language Processing
  • Category: Image Analysis

Final Project: Safety Stock Forecasting

Course 4

  • 10 hours

Course Details

What you’ll learn:
  • Predict safety stock using SARIMA forecasts combined with lead time manipulation.
Skills you will gain:
  • Category: SARIMA model
  • Category: Machine Learning
  • Category: Time series
  • Category: Safety stock
  • Category: Demand Forecast

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