The Demand and Supply Analytics course, part of the Business Analytics MicroMasters Program from Columbia University - ColumbiaX is about modeling and how computer models can support managerial decision making. A model is a simplified representation of a real situation and modeling is the process of developing, analyzing and interpreting a model in order to help make better decisions. Models can be invaluable tools in managing and understanding the complexity and risk inherent in many business problems. As a result, models have become an increasingly important part of business at all levels from daily operations to strategic decision making.
What you'll learn:
This course will help learners become intelligent users and consumers of these models. To this end, we will cover the basic elements of modeling – how to formulate a model and how to use and interpret the information a model produces. The course emphasizes “learning by doing” so that students will be expected to formulate, solve, and interpret a number of different optimization and simulation models using Excel spreadsheets. An important theme in the course is to understand the appropriate use of models in business and the potential pitfalls from using models incorrectly or inappropriately.
The course has two distinct parts:
The Demand and Supply Analytics programme is part of the Business Analytics MicroMasters Program.
Always verify the dates on the programme website.
8-10 hours per week
This programme requires students to demonstrate proficiency in English.Schedule IELTS
Undergraduate probability, statistics, linear algebra and calculus. Students should have familiarity with basic programming concepts in some procedural programming language.
Check the programme website for information about funding options.
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Testimonial Registration Module
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