Lewis Mitchell

Lewis is a lecturer in applied mathematics at the University of Adelaide. His research focusses on large-scale methods for extracting useful information from online social networks, and on statistical techniques for inference and prediction using these data. He works on building tools for real-time prediction of events like disease outbreaks, elections, and civil unrest.

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Big Data Capstone Project (edX)

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project. This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to [...]

Big Data Analytics (edX)

Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information. Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.

Computational Thinking and Big Data (edX)

Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets. Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can [...]