Carleton University · DATA 5001

Fundamentals in Data Science and Analytics

Credits : 0.5 creditReference year : 2026-27

Description

Ethics in Data Science and Analytics, visualization and knowledge discovery in massive datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification.

Conditions and arrangements

  • Precludes additional credit for Precludes additional credit for STAT 5703 .
Reference text in its original language

Ethics in Data Science and Analytics, visualization and knowledge discovery in massive datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification.

  • Precludes additional credit for Precludes additional credit for STAT 5703 .

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/grad/courses/DATA/

Write to StudyCanada

Your plans or a question: let’s continue the conversation by email.

We will use these details to reply to your enquiry. Privacy

This form contacts StudyCanada. To contact this institution, use the details on its profile.