Foundations of Data and Models: Regression Analytics

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Nov-11-2024

    Kuala Lumpur

  • Nov-11-2024

    Istanbul

  • Nov-18-2024

    Singapore

  • Nov-18-2024

    Paris

  • Nov-25-2024

    Dubai

  • Nov-25-2024

    Barcelona

  • Dec-02-2024

    London

  • Dec-02-2024

    Amsterdam

  • Dec-09-2024

    Istanbul

  • Dec-09-2024

    Kuala Lumpur

  • Dec-16-2024

    Paris

  • Dec-16-2024

    Singapore

  • Dec-23-2024

    Amsterdam

  • Dec-23-2024

    Dubai

  • Dec-30-2024

    London

  • Dec-30-2024

    Barcelona

  • Jan-06-2025

    Singapore

  • Jan-06-2025

    Paris

  • Jan-13-2025

    Amsterdam

  • Jan-13-2025

    London

  • Jan-20-2025

    Barcelona

  • Jan-20-2025

    Dubai

  • Jan-27-2025

    Istanbul

  • Jan-27-2025

    Kuala Lumpur

  • Feb-03-2025

    Paris

  • Feb-03-2025

    Singapore

  • Feb-10-2025

    London

  • Feb-10-2025

    Amsterdam

  • Feb-17-2025

    Barcelona

  • Feb-17-2025

    Dubai

  • Feb-24-2025

    Istanbul

  • Feb-24-2025

    Kuala Lumpur

  • Mar-03-2025

    Paris

  • Mar-03-2025

    Singapore

  • Mar-10-2025

    London

  • Mar-10-2025

    Amsterdam

  • Mar-17-2025

    Barcelona

  • Mar-17-2025

    Dubai

  • Mar-24-2025

    Istanbul

  • Mar-24-2025

    Kuala Lumpur

  • Apr-07-2025

    Singapore

  • Apr-07-2025

    Paris

  • Apr-14-2025

    Amsterdam

  • Apr-14-2025

    London

  • Apr-21-2025

    Barcelona

  • Apr-21-2025

    Dubai

  • Apr-28-2025

    Istanbul

  • Apr-28-2025

    Kuala Lumpur

  • May-05-2025

    Paris

  • May-05-2025

    Singapore

  • May-12-2025

    London

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    Amsterdam

  • May-19-2025

    Dubai

  • May-19-2025

    Barcelona

  • May-26-2025

    Kuala Lumpur

  • May-26-2025

    Istanbul

  • June-02-2025

    Paris

  • June-02-2025

    Singapore

  • June-09-2025

    Amsterdam

  • June-09-2025

    London

  • June-16-2025

    Dubai

  • June-16-2025

    Barcelona

  • June-30-2025

    Singapore

  • June-30-2025

    Paris

  • June-30-2025

    Kuala Lumpur

  • June-30-2025

    Istanbul

  • July-07-2025

    Singapore

  • July-07-2025

    Paris

  • July-14-2025

    London

  • July-14-2025

    Amsterdam

  • July-21-2025

    Dubai

  • July-21-2025

    Barcelona

  • July-28-2025

    Istanbul

  • July-28-2025

    Kuala Lumpur

  • Aug-04-2025

    Paris

  • Aug-04-2025

    Singapore

  • Aug-11-2025

    Amsterdam

  • Aug-11-2025

    London

  • Aug-18-2025

    Dubai

  • Aug-18-2025

    Barcelona

  • Aug-25-2025

    Istanbul

  • Aug-25-2025

    Kuala Lumpur

  • Sep-01-2025

    Paris

  • Sep-01-2025

    Singapore

  • Sep-08-2025

    London

  • Sep-08-2025

    Amsterdam

  • Sep-15-2025

    Dubai

  • Sep-15-2025

    Barcelona

  • Sep-22-2025

    Istanbul

  • Sep-29-2025

    Kuala Lumpur

  • Sep-29-2025

    Paris

  • Sep-29-2025

    Singapore

  • Oct-06-2025

    Paris

  • Oct-06-2025

    Singapore

  • Oct-13-2025

    London

  • Oct-13-2025

    Amsterdam

  • Oct-20-2025

    Dubai

  • Oct-20-2025

    Barcelona

  • Oct-27-2025

    Istanbul

  • Oct-27-2025

    Kuala Lumpur

  • Nov-03-2025

    Singapore

  • Nov-03-2025

    Paris

  • Nov-10-2025

    London

  • Nov-10-2025

    Amsterdam

  • Nov-17-2025

    Barcelona

  • Nov-17-2025

    Dubai

  • Nov-24-2025

    Kuala Lumpur

  • Nov-24-2025

    Istanbul

  • Dec-01-2025

    Paris

  • Dec-01-2025

    Singapore

  • Dec-08-2025

    London

  • Dec-08-2025

    Amsterdam

  • Dec-15-2025

    Dubai

  • Dec-15-2025

    Barcelona

  • Dec-22-2025

    Istanbul

  • Dec-29-2025

    Singapore

  • Dec-29-2025

    Paris

  • Dec-29-2025

    Kuala Lumpur

Course Details

Course Outline

5 days course

  • Philosophy of Data and Models
  • Statistics
  • Straight Line Data Analysis
  • Least Squares
  • Levenberg-Marquardt and Ridge Regression Algorithms
  • Damped Least Squares Comparison
  • Stochastic Inverse
  • Singular Value Decomposition
  • Random and Grid-Search Methods
  • Simulated Annealing and Genetic Algorithms
  • Neural Networks
  • Parameter Error Estimates
  • Large Inverse Problems
  • Experimental Design

Course Video