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Apply Mathematical Modeling Methods to Analyze Big Data – Free Course

May 25, 2016

Have you ever wondered how mathematics can be used to solve big data problems? .

Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analyzing large datasets. The free online course “Big Data: Mathematical Modeling” will show you how maths underpins big data analysis.

Big Data Mathematical Modelling

 

Big Data: Mathematical Modeling Course Content

Learn how to apply selected mathematical modeling methods to analyse big data in this course. It includes the following topics:

  • How maths underpins many of the tools that are used to manage and analyze big data;
  • How very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools;
  • Three tools based on a linear algebra framework:
    • eigenvalues and eigenvectors for ranking;
    • graph Laplacian for clustering;
    • singular value decomposition for data compression.
  • Develop your analysis skills with big data case studies;
  • How these methods can be applied to a variety of case studies, including ranking websites, profiling leukaemia patients, taking selfies, and so on.

The course’s hands-on approach will allow you to develop your analytic skills using self-contained datasets, and explore how these methods can be applied to big data in your area.

Requirements

  • You can learn about the modeling methods in this course even if you don’t have a strong maths background.
  • The course assumes basic MATLAB (or other) programming skills for some of the practical exercises.
  • MathWorks will provide you with free access to MATLAB Online for the duration of the course so you can complete the programming exercises.

Summary of Main Course Features

  • Educators: Ian Turner, Steven Psaltis, Phil Gough, Miles McBain, Samuel Rathmanner and Matthew Sutton;
  • In association with: ARC Centre of Excellence for Mathematical and Statistical Frontiers;
  • Content Contributors: Kevin Burrage, Giuseppe De Martino, Steve Psaltis and Ian Turner;
  • Duration: 2 weeks x 2 hours per week;
  • Starts: 30 May;
  • Certificates available.

Price: Free

Visit the Course Page

 

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Filed Under: Lectures, Math, Statistics & Data Analysis Tagged With: analyzing large datasets, Big data, Free, linear algebra framework, Mathematical Modeling, Mathematics

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