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Big data is a fast-growing field and skills in the area are some of the most in demand today.
The Big Data Analytics program from Queensland University of Technology (QUT) comprises four online courses that each look at a different element of big data.
You’ll begin by examining how big data is collected and stored, before going on to explore how statistical inference, machine learning, mathematical modelling and data visualisation are used in its analysis.
You’ll become familiar with predictive analysis, dimension reduction, machine learning, clustering techniques and decision trees, before going on to look at the maths that underpins many of the tools you can use to manage and analyse big data.
Accessible for free on desktop, tablet or mobile and delivered in bite-sized chunks, the courses provide a flexible way to develop your big data analytics skills.
When you complete all four courses, upgrade and earn a Certificate of Achievement for each, you will receive a FutureLearn Award as proof of completing the program of study.
Overview
Syllabus
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Courses under this program:
Course 1: Big Data: from Data to Decisions
-Get a practical insight into big data analytics, and popular tools and frameworks for collecting, storing and managing data.
Course 2: Big Data: Statistical Inference and Machine Learning
-Learn how to apply selected statistical and machine learning techniques and tools to analyse big data.
Course 3: Big Data: Mathematical Modelling
-Learn how to apply selected mathematical modelling methods to analyse big data in this free online course.
Course 4: Big Data: Data Visualisation
-Data visualisation is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved.
