Data Mining
McGill University · QC · INFS630
Data Mining is a subject at McGill University, QC in INFS. It covers topics like data-analysis, data-analytics, data-mining, data-science. It is part of 4 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
INFS630
3.00
INFS
Topics covered
Degrees that include Data Mining
- Data Science (Gr. Cert) (15 credits)
- Information Architecture and Design (Gr. Cert.) (15 credits)
- Information Studies (Non-Thesis): Course Work (M.I.St.) (48 credits)
- Information Studies (Non-Thesis): Project (M.I.St.) (48 credits)
Frequently asked questions
What is Data Mining about?
Data Mining covers topics like data-analysis, data-analytics, data-mining, data-science.
Which degrees include Data Mining?
Data Mining is part of 4 degrees, including Data Science (Gr. Cert) (15 credits), Information Architecture and Design (Gr. Cert.) (15 credits), Information Studies (Non-Thesis): Course Work (M.I.St.) (48 credits), Information Studies (Non-Thesis): Project (M.I.St.) (48 credits).
How many credit points is Data Mining?
Data Mining at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Data Mining taught?
Data Mining is taught at McGill University, QC.
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Sources: McGill 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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