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OpenLearning

Analytics Lifecycle & Modelling​

via OpenLearning

Overview

Master AI & Machine Learning for 50% Off
Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.
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Explore the foundational principles and practical applications of data analytics through this course, covering the full spectrum from raw data to actionable insights. Gain a solid understanding of core concepts, architecture, and technologies within the Big Data ecosystem, and learn how data flows through each stage of the analytics lifecycle. Apply descriptive and predictive modelling techniques to uncover patterns and forecast outcomes from real-world datasets. Build and evaluate prescriptive models using optimization and simulation tools, equipping yourself with the skills needed to support complex decision-making processes.

Syllabus

  • Explain core concepts, architecture, and technologies of the Big Data ecosystem.
  • Explain key concepts and processes in the analytics lifecycle.
  • Apply descriptive and predictive modelling techniques to analyze data.
  • Construct and evaluate prescriptive models using optimization and simulation tools for decision support.

Taught by

Universiti Tenaga Nasional

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