Effective Business Decisions Using Data Analysis

Course Info

Length: 1 Week

City: Singapore

Type: In Classroom

Available Dates

  • Feb-03-2025

    Singapore

  • May-05-2025

    Singapore

  • Aug-04-2025

    Singapore

  • Nov-03-2025

    Singapore

Dates in Other Venues

  • Jan-06-2025

    London

  • Feb-03-2025

    Barcelona

  • Feb-03-2025

    Amsterdam

  • Feb-03-2025

    Kuala Lumpur

  • Feb-03-2025

    Paris

  • Feb-03-2025

    Istanbul

  • Feb-03-2025

    Dubai

  • Mar-17-2025

    London

  • Apr-07-2025

    Dubai

  • May-05-2025

    Kuala Lumpur

  • May-05-2025

    Paris

  • May-05-2025

    Barcelona

  • May-05-2025

    Amsterdam

  • May-05-2025

    London

  • May-05-2025

    Istanbul

  • June-16-2025

    Dubai

  • July-07-2025

    London

  • Aug-04-2025

    Barcelona

  • Aug-04-2025

    Paris

  • Aug-04-2025

    Amsterdam

  • Aug-04-2025

    Istanbul

  • Aug-04-2025

    Dubai

  • Aug-04-2025

    Kuala Lumpur

  • Sep-15-2025

    London

  • Oct-06-2025

    Dubai

  • Nov-03-2025

    Istanbul

  • Nov-03-2025

    Barcelona

  • Nov-03-2025

    London

  • Nov-03-2025

    Amsterdam

  • Nov-03-2025

    Paris

  • Nov-03-2025

    Kuala Lumpur

  • Dec-15-2025

    Dubai

Course Details

Course Outline

5 days course

 

Setting the Scene and Observational Decision Making
 
  • Setting the Quantitative Scene
  • The Decision Support Role of Quantitative Methods in Management
  • "Thinking Statistically" about Applications in Business Practice
  • The Elements and Scope of Quantitative Management
  • Data and the importance of Data Quality

 

 

Evidence-based Observational Decision Making
 
  • Numeric descriptors to profile numeric sample data.
  • Central and non-central location measures.
  • Quantifying dispersion in sample data.
  • Examine the distribution of numeric measures (skewness and bimodal).
  • Exploring relationships between numeric descriptors.
  • Breakdown analysis of numeric measures.

 

Statistical Decision Making – Drawing Inferences from Sample Data

 

  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
  •  

 

Statistical Decision Making – Drawing Inferences from Hypotheses Testing
 
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations

 

 
Predictive Decision Making - Statistical Modeling and Data Mining
 
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Course Video