Big Data: Mathematical Modelling

Online Course

Queensland University of Technology

Future Learn

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Big Data: Mathematical Modelling

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
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What is the course about?

Big Data: Mathematical Modelling

The course Big Data: Mathematical Modelling is an online class provided by Queensland University of Technology through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to apply selected mathematical modelling methods to analyse big data in this free online course.

Course description

Learn how mathematics underpins big data analysis and develop your skills.
3 weeks

Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets. We begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We show how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools. We then introduce three such tools, based on a linear algebra framework: eigenvalues and eigenvectors for ranking; graph Laplacian for clustering; and singular value decomposition for data compression.

Introduction to key mathematical concepts in big data analytics: eigenvalues and eigenvectors, principal component analysis (PCA), the graph Laplacian, and singular value decomposition (SVD)
Application of eigenvalues and eigenvectors to investigate prototypical problems of ranking big data
Application of the graph Laplacian to investigate prototypical problems of clustering big data
Application of PCA and SVD to investigate prototypical problems of big data compression

Identify big data application areas
Explore big data frameworks
Model and analyse data by applying selected techniques
Demonstrate an integrated approach to big data
Develop an awareness of how to participate effectively in a team working with big data experts

This course is designed for anyone looking to add mathematical methods for data analytics to their skill set. We provide a multi-layered approach, so you can learn about the methods even if you don’t have a strong maths background, but we provide further information for those with a sound knowledge of undergraduate mathematics. We will assume basic MATLAB (or other) programming skills for some of the practical exercises.

Queensland University of Technology
QUT is a leading Australian university ranked in the top 1% of universities worldwide by the 2019 Times Higher Education World University Rankings. Located in Brisbane, it attracts over 50,000 students.

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Prerequisites & Facts

Big Data: Mathematical Modelling

Course Topic

Business & Management, Data Analytics, Data Science, Science, Engineering & Maths

University, College, Institution

Queensland University of Technology

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Big Data: Mathematical Modelling

To obtain a verified certificate from Future Learn / Queensland University of Technology you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Queensland University of Technology

Big Data: Mathematical Modelling

provided by Future Learn

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