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Business Analytics for Decision Making
  • Level Foundation
  • المدة 9 ساعات hours
  • الطبع بواسطة University of Colorado Boulder
  • Offered by

عن

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.

الوحدات

Introduction

    • 2 Videos
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2 Videos

  • Introduction to the Course
  • 0. What is Cluster Analysis

Business Applications and Techniques

    • 3 Videos
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3 Videos

  • 1. Data Reduction and Unsupervised Learning
  • 2. Preparing Data and Measuring Dissimilarities
  • 3. Hierarchical and k-Means Clustering

Clustering using Excel and the XLMiner

    • 2 Videos
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2 Videos

  • 4. Cluster Analysis with Excel
  • 5. Cluster Analysis with XLMiner

Assignments

    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Week 1 Quiz
  • Week 1 Application Assignment - Clustering

1 Discussions

  • Week 1 Discussion: Cluster Analysis in Nilsen Analytics Tools

1 Readings

  • Register for Analytic Solver Platform for Education (ASPE)

Introduction

    • 1 Videos
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1 Videos

  • 0. Risk Analysis and Monte Carlo Simulation

Developing and Running a Simulation Model

    • 3 Videos
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3 Videos

  • 1. Adding Uncertainty to a Spreadsheet Model
  • 2. Defining Output Variables and Analyzing the Results
  • 3. Using Historical Data to Model Uncertainty

Additional Output Analysis and Applications

    • 3 Videos
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3 Videos

  • 4. Models with Correlated Uncertain Variables
  • 5. Creating and Interpreting Charts
  • 6. Using Average Values versus Simulation

Assignments

    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Week 2 Quiz
  • Week 2 Application Assignment - Monte Carlo Simulation

1 Discussions

  • Week 2 Discussion: How Betterment Holdings Inc. Used Monte Carlo Simulation

Introduction

    • 1 Videos
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1 Videos

  • 0. Optimization and Decision Making

Modeling and Solving Optimization Problems

    • 3 Videos
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3 Videos

  • 1. Formulating an Optimization Problem
  • 2. Developing a Spreadsheet Model
  • 3. Adding Optimization to a Spreadsheet Model

What-if Analysis and Applications

    • 3 Videos
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3 Videos

  • 4. What-if Analysis and the Sensitivity Report
  • 5. Evaluating Scenarios and Visualizing Results to Gain Practical Insights
  • 6. Digital Marketing Application of Optimization

Assignments

    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Week 3 Quiz
  • Week 3 Application Assignment - Linear Optimization

1 Discussions

  • Week 3 Discussion: How Amazon Uses Optimization for Its Supply Chain

Introduction

    • 1 Videos
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1 Videos

  • 0. Advanced Models for Better Decisions

Decision Models and Methods for Problems with Binary Variables

    • 3 Videos
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3 Videos

  • 1. Business Problems with Yes/No Decisions
  • 2. Formulation and Solution of Binary Optimization Problems
  • 3. Metaheuristic Optimization

Decision Models with Uncertainty

    • 2 Videos
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2 Videos

  • 4. Chance Constraints and Value At Risk
  • 5. Simulation Optimization

Assignments

    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Week 4 Quiz
  • Week 4 Application Assignment - Simulation Optimization

1 Discussions

  • Week 4 Discussion: How Uber Optimized Its Dispatch System

Auto Summary

Enhance your decision-making skills with "Business Analytics for Decision Making," a foundational course in Data Science & AI by Coursera. Learn cluster analysis, Monte Carlo simulation, and optimization techniques using Excel and the Analytic Solver Platform, accessible for free during assignments. Ideal for beginners, this 540-minute course offers a starter subscription to elevate your business analytics capabilities.

Manuel Laguna
Instructor

Manuel Laguna