Supply Chain Demand forecasting with Python

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2023-01-20
Learners

No Information
Duration

No Information
Instructor

Jayakhanthan Sakthivel

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3.0

12 Ratings

This course will teach you how to build a powerful forecasting engine in Python to predict demand in the Supply Chain. You will learn advanced forecasting models and how to optimize and select the best model for your data. With over 3000 SKUs and 5 years of data, you will gain practical knowledge and build a fully automated forecasting engine. Visualize your forecasted data and errors in an intuitive way and master the key skill of Supply Chain Management.

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Supply Chain Demand forecasting with Python

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This course provides an understanding of how to forecast supply chain demand using Python. Students will learn to build forecasting models from basic to more advanced, and will implement each of the models in Python. Real life data with over 3000 SKUs and over 5 years of data and millions of transactions will be used to gain practical knowledge. Upon completion of the course, students will have learned how advanced demand forecasting engines work in expensive commercial software, and will have built their own fully automated forecasting engine. Additionally, students will learn to optimize and select the best forecasting model based on their data, and to visualize forecasted data and errors in an intuitive way.

Course Syllabus

Introduction to time series forecasting in python

Measure forecast accuracy

Advanced time series forecasting models

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