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Industrial Engineering Projects with Python
Python Projects for Industrial Engineering
5.09 reviews13 learners
- Beginner
- 1h 15m video
- 8 lectures
- English
- Updated 2025
Taught by A. Ralford Barkley Academy
- 1h 15m of on-demand video
- 8 lectures across 6 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- English audio
Curriculum
6 sections8 lectures1h 15m total
- Introduction2:52
- Ratings2:54
- About The Course2:44
- Time Study with Python8:46
- Capacity Planning with Python10:12
- Simulator wiyh Python18:59
- Material Handling Optimization8:29
- WL Optimization21:00
About this course
This course teaches you how to combine Python with Industrial Engineering through clear, practical, project-based lessons. Instead of focusing on theory alone, you will work through real examples that mirror the tasks engineers deal with in production, planning, quality, logistics and data-driven decision making. You will start by building a solid foundation in Python as it relates to engineering tasks. From there, each section introduces a new project that targets a specific Industrial Engineering topic. You will…
Before you start
- Basic Python knowledge is helpful.
- A general understanding of Industrial Engineering concepts is recommended.
Who it’s for
- This course is designed for Industrial Engineering students, new graduates, analysts and engineers who want to apply Python to practical engineering tasks. It is also suitable for learners who want to build a project-based portfolio that demonstrates their ability to solve planning, forecasting, optimization and simulation problems.
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