Professional Training

Foundations of Data and Models: Regression Analytics

London Premier Centre, In London (+7 locations)
Length
5 days
Price
3,750 - 4,600 GBP excl. VAT
Next course start
Course delivery
Classroom
Length
5 days
Price
3,750 - 4,600 GBP excl. VAT
Next course start
Course delivery
Classroom
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Course description

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).

Upcoming start dates

Choose between 64 start dates

6 May, 2024

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  • Amsterdam

6 May, 2024

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  • London

13 May, 2024

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  • Istanbul

13 May, 2024

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  • Kuala Lumpur

20 May, 2024

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  • Paris

20 May, 2024

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  • Singapore

27 May, 2024

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27 May, 2024

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  • Dubai

3 June, 2024

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3 June, 2024

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10 June, 2024

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10 June, 2024

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17 June, 2024

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17 June, 2024

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24 June, 2024

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24 June, 2024

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1 July, 2024

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1 July, 2024

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8 July, 2024

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8 July, 2024

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15 July, 2024

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15 July, 2024

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22 July, 2024

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29 July, 2024

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5 August, 2024

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5 August, 2024

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12 August, 2024

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12 August, 2024

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19 August, 2024

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19 August, 2024

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26 August, 2024

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26 August, 2024

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2 September, 2024

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2 September, 2024

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  • London

9 September, 2024

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9 September, 2024

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  • Kuala Lumpur

16 September, 2024

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16 September, 2024

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23 September, 2024

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30 September, 2024

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7 October, 2024

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7 October, 2024

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  • London

14 October, 2024

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14 October, 2024

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  • Kuala Lumpur

21 October, 2024

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21 October, 2024

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28 October, 2024

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28 October, 2024

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  • Dubai

4 November, 2024

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4 November, 2024

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  • London

11 November, 2024

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11 November, 2024

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18 November, 2024

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18 November, 2024

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25 November, 2024

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25 November, 2024

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2 December, 2024

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2 December, 2024

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  • London

9 December, 2024

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  • Istanbul

9 December, 2024

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  • Kuala Lumpur

16 December, 2024

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  • Paris

16 December, 2024

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  • Singapore

23 December, 2024

  • Classroom
  • Dubai

30 December, 2024

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  • Barcelona

Suitability - Who should attend?

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

Outcome / Qualification etc.

  • 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

Training Course Content

Day 1

  • Philosophy of Data and Models
  • Statistics
  • Straight Line Data Analysis

Day 2

  • Least Squares
  • Levenberg-Marquardt and Ridge Regression Algorithms
  • Damped Least Squares Comparison

Day 3

  • Stochastic Inverse
  • Singular Value Decomposition
  • Random and Grid-Search Methods

Day 4

  • Simulated Annealing and Genetic Algorithms
  • Neural Networks
  • Parameter Error Estimates

Day 5

  • Large Inverse Problems
  • Experimental Design

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London Premier Centre
47-49 Park Royal Road
NW10 7LQ London

London Premier Centre

London Premier Centre is a UK leading training provider based in London and specialises in international short courses. Our inspiring, comprehensive portfolio of more than 400 professional development courses and seminars covers a wide range of professions from Administration, Leadership,...

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