NPD Model - JBDON

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What is Cluster Analysis
Preparing Data and Measuring Dissimilarities
Data Reduction and Unsupervised Learning
Hierarchical and k-Means Clustering
Cluster analysis using excel and excel miner
Adding Uncertainty to a Spreadsheet Model
Defining Output Variables and Analyzing the Results
Using Historical Data to Model Uncertainty
Models with Correlated Uncertain Variables
Creating and Interpreting Charts
Using Average Values versus Simulation
Optimization and Decision Making
Formulating an Optimization Problem
Developing a Spreadsheet Model
Adding Optimization to a Spreadsheet Model
What-if Analysis and the Sensitivity Report
Evaluating Scenarios and Visualizing Results to Gain Practical Insights
Digital Marketing Application of Optimization
Advanced Models for Better Decisions
Business Problems with Yes/No Decisions
Formulation and Solution of Binary Optimization Problems
Metaheuristic Optimization
Chance Constraints and Value At Risk
Simulation Optimization
Marketing Analytics and Customer Satisfaction
Customer Satisfaction
Measurements and Scaling Techniques – Introduction
Primary Scales of Measurement
Comparative Scaling
Non-Comparative Scaling
Experiment Design: Controlling for Experimental Errors

NPD MODEL

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Home
New Page
Soft Skills
Marketing
Finance
Economics
JBDON Golf
Let's Talk
MBA Project Sharing
About Us
CET Knowledge Zone
What is Cluster Analysis
Preparing Data and Measuring Dissimilarities
Data Reduction and Unsupervised Learning
Hierarchical and k-Means Clustering
Cluster analysis using excel and excel miner
Adding Uncertainty to a Spreadsheet Model
Defining Output Variables and Analyzing the Results
Using Historical Data to Model Uncertainty
Models with Correlated Uncertain Variables
Creating and Interpreting Charts
Using Average Values versus Simulation
Optimization and Decision Making
Formulating an Optimization Problem
Developing a Spreadsheet Model
Adding Optimization to a Spreadsheet Model
What-if Analysis and the Sensitivity Report
Evaluating Scenarios and Visualizing Results to Gain Practical Insights
Digital Marketing Application of Optimization
Advanced Models for Better Decisions
Business Problems with Yes/No Decisions
Formulation and Solution of Binary Optimization Problems
Metaheuristic Optimization
Chance Constraints and Value At Risk
Simulation Optimization
Marketing Analytics and Customer Satisfaction
Customer Satisfaction
Measurements and Scaling Techniques – Introduction
Primary Scales of Measurement
Comparative Scaling
Non-Comparative Scaling
Experiment Design: Controlling for Experimental Errors