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MATH42515: Data Exploration, Visualization, and Unsupervised Learning

Durham University · England · MATH42515

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MATH42515: Data Exploration, Visualization, and Unsupervised Learning is a subject at Durham University, England. It covers topics like data-analytics, data-mining, data-science, statistical-learning. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.

University
Durham University
Code
MATH42515
Credit points
3.00

Topics covered

data-analyticsdata-miningdata-sciencestatistical-learning

Degrees that include MATH42515: Data Exploration, Visualization, and Unsupervised Learning

Frequently asked questions

What is MATH42515: Data Exploration, Visualization, and Unsupervised Learning about?

MATH42515: Data Exploration, Visualization, and Unsupervised Learning covers topics like data-analytics, data-mining, data-science, statistical-learning.

Which degrees include MATH42515: Data Exploration, Visualization, and Unsupervised Learning?

MATH42515: Data Exploration, Visualization, and Unsupervised Learning is part of 5 degrees, including Master of Data Science (Digital Humanities) G5K923, Master of Data Science (Environmental Data Science) G5P723, Master of Data Science G5K823, Master of Data Science (Health) G5P323, Master of Data Science (Social Analytics) G5P423.

How many credit points is MATH42515: Data Exploration, Visualization, and Unsupervised Learning?

MATH42515: Data Exploration, Visualization, and Unsupervised Learning at Durham University is typically around 3.00 credit points. Approximate — confirm with the university.

Where is MATH42515: Data Exploration, Visualization, and Unsupervised Learning taught?

MATH42515: Data Exploration, Visualization, and Unsupervised Learning is taught at Durham University, England.

Studying MATH42515: Data Exploration, Visualization, and Unsupervised Learning?

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Sources: Durham University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.

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