Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. This course is designed to connect data and models to real world decision-making scenarios in manufacturing, supply chain, finance, human resource management, etc. In particular, we understand how linear optimization - a prescriptive analytics method - can be used to formulate decision problems and provide data-based optimal solutions. Throughout this course we will work on applied problems in different industries, such as:
This course is part of the Analytics for Decision Making Specialization
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About this Course
Familiarity with Excel spreadsheets
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Analytics
- Operations Management
- Linear Programming (LP)
- Mathematical Optimization
Familiarity with Excel spreadsheets
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Module 1: LPs for Financial Decisions
Module 2: LP for Supply Chain Decisions
Module 3: LP for Staffing Decisions
Module 4: LP for Production Decisions
Reviews
- 5 stars82.50%
- 4 stars17.50%
TOP REVIEWS FROM ADVANCED MODELS FOR DECISION MAKING
All of the courses in this series are very practical based and give a lot of practice in using the tools.
The concepts are explained well. The lectures are very detail oriented. I just wish there were more examples to follow.
Really enjoyed the lesson. Learned application of optimization analytics in various setting.
About the Analytics for Decision Making Specialization

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