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.
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このコースについて
貴社では、従業員に需要のあるスキルを訓練させることによって利益を得ることができるでしょうか?
Coursera for Businessを試す習得するスキル
- Data Analysis
- Simulation
- Business Analytics
- Mathematical Optimization
貴社では、従業員に需要のあるスキルを訓練させることによって利益を得ることができるでしょうか?
Coursera for Businessを試すシラバス - 本コースの学習内容
Data Exploration and Reduction — Cluster Analysis
Dealing with Uncertainty and Analyzing Risk
Identifying the Best Options — Optimization
Decision Analytics
レビュー
- 5 stars71.16%
- 4 stars21.42%
- 3 stars5.29%
- 2 stars1.25%
- 1 star0.85%
BUSINESS ANALYTICS FOR DECISION MAKING からの人気レビュー
It was really awesome course. It was fun learning about business analytics for decision making through the course. I learned how to make use omathematical functions to make successful decision.
The content of the course was well planned and interesting. I learnt a lot good stuffs which I'm sure will help me in gowing my skills in Bisiness analytics.
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.
Learnt a lot of new things and also a very good revision of already known things. The Prof explains everything in detail with adequate examples and illustrates the same in the software.
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