In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
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来自BUSINESS ANALYTICS FOR DECISION MAKING的热门评论
The instructor is great. However, I would like to know the solutions for the exam. I sometimes pass the exam but struggle with certain questions but had no clue how to resolve it.
Training course was very useful in decision making with analytical tools to cope up with risk analysis, data optimization, evaluating scenarios, binary model decision making etc.
Very interesting subject with a good instructor. I'd like to be able to cover the content in more detail, but it was a good introduction to optimization theory.
This course provides a brilliant overview of Business Analytics problems. Bit more details about the underlying mathematical techniques used would be helpful.
关于 Advanced Business Analytics 专项课程