JBDON
  • Home
  • Applied Analytics
    • Analytics for Decision Making
    • Analytics for Marketing
    • Data Engine
    • Customer Insights
    • Analytics for Advance Marketing
  • Soft Skills
    • Adaptability
    • Confidence
    • Change Management
    • Unlearning and Learning
    • Collaboration and Teamwork
    • Cultural Sensitivity
  • Marketing
  • Finance
  • Economics
    • Introduction to Managerial Economics >
      • Basic Techniques
      • The firm: Stakeholders, Objectives and Decision Issues
      • Scope of Managerial Economics
    • Demand and Revenue Analysis >
      • Demand Estimation and Forecasting
      • Demand Elasticity
      • Demand Concepts and Analysis
    • Prodution and Cost Analysis >
      • Production Function
      • Estimation of Production and Cost Functions
      • Cost Concepts and Analysis I
      • Cost Concepts and Analysis II
    • Pricing Decisions >
      • Pricing strategies
      • Market structure and microbes barriers to entry
      • Pricing under pure competition and pure monopoly
      • Pricing under monopolistic and oligopolistic competition
    • Narendra Modi Development Model of Gujarat
  • JBDON Golf
  • Let's Talk
  • MBA Project Sharing
  • About Us
  • CET Knowledge Zone
    • Tips From JBIMS Students >
      • Prasad Sawant
      • Chandan Roy
      • Ram
      • Ashmant Tiwari
      • Rajesh Rikame
      • Ami Kothari
      • Ankeet Adani
      • Sonam Jain
      • Mitesh Thakker
      • Tresa Sankoorikal
    • Speed Techniques
    • CET Workshops
  • 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


Prasad Sawant, JBIMS Batch of 2011


Chandan Roy, JBIMS Batch of 2010

Rajesh Rikame, IIM Bangalore Batch of 2012

Ram, JBIMS Batch of 2010

Ashmant Tiwari, JBIMS Batch of 2010

Ami Kothari, JBIMS Batch of 2010

Ankeet Adani, JBIMS Batch of 2011

Sonam Jain, JBIMS Batch of 2011

Mitesh Thakker, JBIMS Batch of 2011

Tresa Sankoorikal, JBIMS Batch of 2011

Picture
We mentor, motivate and guide students # To increase their scores by teaching our unique speed techniques and strategies # To get edge over others by mastering the art of GD & PI # To enable them to make the right career decisions.
JBDON © 2009-2021 All rights reserved . E-learning Initiative by Applied Cloud Computing www.acc.ltd
  • Home
  • Applied Analytics
    • Analytics for Decision Making
    • Analytics for Marketing
    • Data Engine
    • Customer Insights
    • Analytics for Advance Marketing
  • Soft Skills
    • Adaptability
    • Confidence
    • Change Management
    • Unlearning and Learning
    • Collaboration and Teamwork
    • Cultural Sensitivity
  • Marketing
  • Finance
  • Economics
    • Introduction to Managerial Economics >
      • Basic Techniques
      • The firm: Stakeholders, Objectives and Decision Issues
      • Scope of Managerial Economics
    • Demand and Revenue Analysis >
      • Demand Estimation and Forecasting
      • Demand Elasticity
      • Demand Concepts and Analysis
    • Prodution and Cost Analysis >
      • Production Function
      • Estimation of Production and Cost Functions
      • Cost Concepts and Analysis I
      • Cost Concepts and Analysis II
    • Pricing Decisions >
      • Pricing strategies
      • Market structure and microbes barriers to entry
      • Pricing under pure competition and pure monopoly
      • Pricing under monopolistic and oligopolistic competition
    • Narendra Modi Development Model of Gujarat
  • JBDON Golf
  • Let's Talk
  • MBA Project Sharing
  • About Us
  • CET Knowledge Zone
    • Tips From JBIMS Students >
      • Prasad Sawant
      • Chandan Roy
      • Ram
      • Ashmant Tiwari
      • Rajesh Rikame
      • Ami Kothari
      • Ankeet Adani
      • Sonam Jain
      • Mitesh Thakker
      • Tresa Sankoorikal
    • Speed Techniques
    • CET Workshops
  • 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