À propos de ce cours : 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.
Créé par : Université du Colorado à Boulder
Enseigné par : Manuel Laguna, Professor
Leeds School of Business
| Informations de base | Cours 3 de 5 dans Advanced Business Analytics Specialization |
| Engagement | 4 weeks of study, 3-4 hours per week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Data Exploration and Reduction — Cluster Analysis
7 vidéos, 1 lecture
- Vidéo: Introduction to the Course
- Vidéo: 0. What is Cluster Analysis
- Vidéo: 1. Data Reduction and Unsupervised Learning
- Vidéo: 2. Preparing Data and Measuring Dissimilarities
- Vidéo: 3. Hierarchical and k-Means Clustering
- Vidéo: 4. Cluster Analysis with Excel
- Vidéo: 5. Cluster Analysis with XLMiner
- Leitura: Register for Analytic Solver Platform for Education (ASPE)
- Prompt de discussão: Week 1 Discussion: Cluster Analysis in Nilsen Analytics Tools
Noté: Week 1 Quiz
Noté: Week 1 Application Assignment - Clustering
SEMAINE 2
Dealing with Uncertainty and Analyzing Risk
7 vidéos
- Vidéo: 0. Risk Analysis and Monte Carlo Simulation
- Vidéo: 1. Adding Uncertainty to a Spreadsheet Model
- Vidéo: 2. Defining Output Variables and Analyzing the Results
- Vidéo: 3. Using Historical Data to Model Uncertainty
- Vidéo: 4. Models with Correlated Uncertain Variables
- Vidéo: 5. Creating and Interpreting Charts
- Vidéo: 6. Using Average Values versus Simulation
- Prompt de discussão: Week 2 Discussion: How Betterment Holdings Inc. Used Monte Carlo Simulation
Noté: Week 2 Quiz
Noté: Week 2 Application Assignment - Monte Carlo Simulation
SEMAINE 3
Identifying the Best Options — Optimization
At the end of this module students should be able to: 1. Develop a spreadsheet model for an optimization problem 2. Use Excel to solve optimization models 3. Interpret solutions and conduct what-if analysis
7 vidéos
- Vidéo: 0. Optimization and Decision Making
- Vidéo: 1. Formulating an Optimization Problem
- Vidéo: 2. Developing a Spreadsheet Model
- Vidéo: 3. Adding Optimization to a Spreadsheet Model
- Vidéo: 4. What-if Analysis and the Sensitivity Report
- Vidéo: 5. Evaluating Scenarios and Visualizing Results to Gain Practical Insights
- Vidéo: 6. Digital Marketing Application of Optimization
- Prompt de discussão: Week 3 Discussion: How Amazon Uses Optimization for Its Supply Chain
Noté: Week 3 Quiz
Noté: Week 3 Application Assignment - Linear Optimization
SEMAINE 4
Decision Analytics
At the end of this module students should be able to: 1. Given a business situation, apply an appropriate technique to identify the best solution alternatives 2. Formulate and solve models for business problems that requires yes/no decisions and logical constraints 3. Create models that mix techniques and tools such as simulation and optimizationAnalyze and interpret results to make informed decisions
6 vidéos
- Vidéo: 0. Advanced Models for Better Decisions
- Vidéo: 1. Business Problems with Yes/No Decisions
- Vidéo: 2. Formulation and Solution of Binary Optimization Problems
- Vidéo: 3. Metaheuristic Optimization
- Vidéo: 4. Chance Constraints and Value At Risk
- Vidéo: 5. Simulation Optimization
- Prompt de discussão: Week 4 Discussion: How Uber Optimized Its Dispatch System
Noté: Week 4 Quiz
Noté: Week 4 Application Assignment - Simulation Optimization
FAQ
Comment cela fonctionne
Trabalho
Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.
Ajuda dos seus colegas
Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.
Certificados
Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.
Créateurs
Université du Colorado à Boulder
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.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Very well presented and excellent content is provided.
The professor explains materials in great details and provides great examples.
I really enjoyed his lectures and comments.
I wish he would have introduced some books for extra activities to master details in this course.
Great job and many thanks
The course is very informative. The instructors has presented the concepts with great clarity. However, the fourth module is succinctly discussed complicated concepts and few more examples would have provided more understanding.
Great class
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DA
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.