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1. Data Analysis 1: What is Data - Computerphile
What is data? Dr Mike Pound begins to formalise this much used word. This is part 1 of the
2. Data Analysis 0: Introduction to Data Analysis - Computerphile
Big Data does not equate to Big Knowledge - unless you use
3. Data Analysis 6: Principal Component Analysis (PCA) - Computerphile
PCA - Principle Component
4. Data Analysis 9: Data Regression - Computerphile
Real life doesn't fit into neat categories - Dr Mike Pound on some different ways to regress your
5. Data Analysis - Computerphile
Dr Mike Pound introduces a ten videos on
6. Data Analysis 7: Clustering - Computerphile
Grouping similar things together - either users with similar habits, or products in an online shop. Dr Mike Pound on Clustering.
7. Data Analysis 2: Data Visualisation - Computerphile
Seeing is believing - Dr Mike Pound helps us understand how to turn our datapoints into Powerpoints. This is part 2 of the
8. Data Analysis 8: Classifying Data - Computerphile
For your eyes only! Classifying
9. Data Analysis 3: Cleaning Data - Computerphile
A clean sweep. How to get rid of the unnecessary clutter in your
10. Data Analysis 5: Data Reduction - Computerphile
Too much data? Dr Mike Pound on how best to reduce your dataset. This is part 5 of the
11. Data Analysis 4: Data Transformation - Computerphile
A litre of fuel but a pint of milk - time to get all your
12. Graphs, Vectors and Machine Learning - Computerphile
There's a lot of talk of image and text AI with large language models and image generators generating media (in both senses of ...
13. Data Harvesting Problem - Computerphile
How do we control our own
14. Multi-Dimensional Data (as used in Tensors) - Computerphile
How do computers represent multi-dimensional
Data Analysis Computerphile Information Guide
Introduction to Data Analysis Computerphile
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Last Updated: August 12, 2026
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Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.