Tips From JBIMS Students

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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
A/B Testing: Introduction
A/B Testing: Types of Tests
ANOVA – Introduction
Example -Inspect Spray and Tooth Growth
Logit Model - Binary Outome and Forecastign linear regression
Social media Microscope
Text Summarization
N-Gram - Frequcy Count and phase mining
LDA Topic Modeling
Machine-Learned Classification and Semantic Topic Tagging
Visualisation and statistics (Political Advertising,Movie Theater and Data Assembly)
Excel Analysis of Motion Picture Industry Data
Displaying Conditional Distributions
Analyzing Qualitative Variables
Steps in Constructing Histograms
Common Descriptive Statistics for Quantitative Data
Regression-Based Modeling
Customer Analytics
Illustrating Customer Analytics in Excel
Customer Valuation Excel Demonstration
Understanding The Growth Of Data
Evaluating Methods Of Data Access
Communication journey
Data Journey
Finding Patterns In Data
New Page
Planning for data visualisation
Content Connection and Chart Legitibility
Preparation for efficient data analysis
Unstructured Data from Websites, APIs, and Other Important Sources
Structured Data from Delimited and Fixed-Width Sources

MBA CET TIPS from JBIMS students