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Data Analysis 7: Clustering - Computerphile
Data Analysis 3: Cleaning Data - Computerphile
Data Analysis 9: Data Regression - Computerphile
Data Analysis 8: Classifying Data - Computerphile
Data Analysis 4: Data Transformation - Computerphile
Dealing With Big Data - Computerphile
Data Analysis - Computerphile
Data Analysis 5: Data Reduction - Computerphile
GPS Hidden Messages - Computerphile
Foundations of Data Visualisation - Computerphile
SenseMaking (Data Visualisation) - Computerphile
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Last Updated: October 26, 2026
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What is data? Dr Mike Pound begins to formalise this much used word. This is part 1 of the Big Data does not equate to Big Knowledge - unless you use Seeing is believing - Dr Mike Pound helps us understand how to turn our datapoints into Powerpoints. This is part 2 of the Grouping similar things together - either users with similar habits, or products in an online shop. Dr Mike Pound on Clustering. A clean sweep. How to get rid of the unnecessary clutter in your Real life doesn't fit into neat categories - Dr Mike Pound on some different ways to regress your For your eyes only! Classifying A litre of fuel but a pint of milk - time to get all your Dr Mike Pound introduces a ten videos on Too much data? Dr Mike Pound on how best to reduce your dataset. This is part 5 of the Steven Murdoch of University College London explains how he used Following a look at 'Sensemaking' Associate Professor Dr Kai Xu delves into some more tricks of the visualisation trade.