Business Analytics for Decision Making

This course is part of Advanced Business Analytics Specialization

Instructor: Manuel Laguna

What you'll learn

  •   Describe the significance of optimization in identifying optimal solutions for complex business problems
  •   Implement optimization techniques to identify the best possible course of action among multiple alternatives
  •   Judge the appropriateness of optimization techniques in finding optimal solutions for practical business challenges
  • Skills you'll gain

  •   Simulation and Simulation Software
  •   Predictive Analytics
  •   Business Analytics
  •   Probability Distribution
  •   Analytics
  •   Risk Analysis
  •   Process Optimization
  •   Market Analysis
  •   Business Analysis
  •   Business Modeling
  •   Unsupervised Learning
  •   Data Analysis
  •   Business Intelligence
  •   Decision Making
  •   Microsoft Excel
  • There are 4 modules in this course

    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.

    Dealing with Uncertainty and Analyzing Risk

    Identifying the Best Options — Optimization

    Decision Analytics

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