Udemy – Operations Research & Optimization Projects With Python 2024-12
Udemy – Operations Research & Optimization Projects With Python 2024-12 Downloadly IRSpace
Operations Research & Optimization Projects With Python is a course designed to equip learners with the skills to solve complex decision-making problems using Python, published by Udemy Online Academy. It covers the fundamentals of operations research, including linear programming, integer programming, and dynamic programming, and integrates these concepts into practical optimization projects. Students will explore Python libraries such as PuLP, SciPy, and NumPy to model and solve real-world scenarios such as resource allocation, scheduling, and supply chain optimization. The course emphasizes hands-on learning and guides users through project-based exercises to develop problem-solving expertise in theoretical and practical applications.
Throughout the course, we will cover key topics such as linear programming, discrete optimization, and stochastic processes. You will also explore complex areas such as advanced optimization algorithms with machine learning, genetic algorithms, and multi-objective decision making. Each module is designed to gradually build your understanding, with practical examples and interactive exercises that apply directly to real-life scenarios. This course is ideal for anyone who wants to build a solid foundation in operations research, improve their analytical skills, and learn systematic approaches to tackling optimization problems.
What you will learn in Operations Research & Optimization Projects With Python:
- Master the use of Python for supply chain and factory operations optimization
- Build Python models for effective workforce planning and network flow optimization
- Integrate multi-objective decision-making tools for advanced operational strategies
- Implement robust optimization and stochastic models for managing uncertainty in operations
- Use Python for advanced operations research techniques such as stochastic processes, game theory, and dynamic programming
- And…
Course specifications
Publisher: Udemy
Instructors: Advancedor Academy
Language: English
Level: Intermediate
Number of Lessons: 285
Duration: 25 hours and 28 minutes
Course topics

Operations Research & Optimization Projects With Python Prerequisites
Basic proficiency in Python programming is required.
Familiarity with fundamental concepts in operations management is beneficial but not required.
Basic mathematical skills, including algebra and introductory statistics.
Pictures

Operations Research & Optimization Projects With Python introduction video
Installation guide
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Subtitle: English
Quality: 720p
Changes:
Version 2024/12 compared to the 2024/5 has increased by 161 lessons and 18 hours and 27 minutes in duration. English subtitles were also added to the course.
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Size
5.88 GB
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