Available Dates

May-20-2024

Singapore
June-17-2024

Singapore
July-15-2024

Singapore
Aug-19-2024

Singapore
Sep-16-2024

Singapore
Oct-21-2024

Singapore
Nov-18-2024

Singapore
Dec-16-2024

Singapore

Dates in Other Venues

Apr-22-2024

Dubai
Apr-22-2024

Amsterdam
Apr-29-2024

London
Apr-29-2024

Barcelona
May-06-2024

Amsterdam
May-06-2024

London
May-13-2024

Istanbul
May-13-2024

Kuala Lumpur
May-20-2024

Paris
May-27-2024

Barcelona
May-27-2024

Dubai
June-03-2024

Amsterdam
June-03-2024

London
June-10-2024

Istanbul
June-10-2024

Kuala Lumpur
June-17-2024

Paris
June-24-2024

Barcelona
June-24-2024

Dubai
July-01-2024

Amsterdam
July-01-2024

London
July-08-2024

Istanbul
July-08-2024

Kuala Lumpur
July-15-2024

Paris
July-22-2024

Amsterdam
July-22-2024

Dubai
July-29-2024

London
July-29-2024

Barcelona
Aug-05-2024

London
Aug-05-2024

Amsterdam
Aug-12-2024

Istanbul
Aug-12-2024

Kuala Lumpur
Aug-19-2024

Paris
Aug-26-2024

Barcelona
Aug-26-2024

Dubai
Sep-02-2024

Amsterdam
Sep-02-2024

London
Sep-09-2024

Kuala Lumpur
Sep-09-2024

Istanbul
Sep-16-2024

Paris
Sep-23-2024

Amsterdam
Sep-23-2024

Dubai
Sep-30-2024

Barcelona
Sep-30-2024

London
Oct-07-2024

Amsterdam
Oct-07-2024

London
Oct-14-2024

Istanbul
Oct-14-2024

Kuala Lumpur
Oct-21-2024

Paris
Oct-28-2024

Dubai
Oct-28-2024

Barcelona
Nov-04-2024

Amsterdam
Nov-04-2024

London
Nov-11-2024

Istanbul
Nov-11-2024

Kuala Lumpur
Nov-18-2024

Paris
Nov-25-2024

Dubai
Nov-25-2024

Barcelona
Dec-02-2024

Amsterdam
Dec-02-2024

London
Dec-09-2024

Istanbul
Dec-09-2024

Kuala Lumpur
Dec-16-2024

Paris
Dec-23-2024

Amsterdam
Dec-23-2024

Dubai
Dec-30-2024

Barcelona
Dec-30-2024

London

Course Details

This course aims to teach a suite of algorithms and concepts to a diverse set of participants interested in the general concept of fitting data to models. It starts with mostly simple linear algebra and computational methods, and introduces some more difficult mathematical concepts towards the end. This method also, by design, fits in with our approach of morning lectures and afternoon practice on personal computers. The combined teaching system provides opportunities for much hands-on learning and participants leave the course with practical knowledge of the basic algorithms.

Applied data science enjoys widespread application in nearly every industry today. It lies at the intersection of the quantitative (statistics and optimization), the computational (programming and IT), and the domanial (business knowledge).

Examining how to fit data to models
Defining linear least squares, non-linear least squares, singular value decomposition, sensitivity analysis, experiment design, and parameter error estimation
Appreciating grid search, random search, simulated annealing, genetic algorithms, neural networks, and large inverse systems
Investigating principles leading to rapid application of methods
Evaluating the results of pre-programmed computer exercises

Software engineers and developers
Machine learning scientists and other technical professionals
Financial analysts
Government and military officials
Business executives and leaders

Our courses in Singapore take place at the following location :

The Work Boulevard: 79 anson road level 21 Singapore 079906

Once you register for this course, we will subsequently send the invoice and course information, including location, trainer, and other logistics.

Pay Attention, Please! The course location is subject to availability; the course time will be precise one week before the course start date! We may change the course location if there is no availability, and we will let you know about the location change once it happens.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5