Carleton University · ENSC 3002

Applied Data Analysis

Credits : 0.5 creditReference year : 2026-27

Description

Data analysis strategies to tackle real-world, wicked problems. Includes a hands-on applied environmental data science project with a variety of partners. Topics include: obtaining and working with data, exploring causal relationships, data ethics, communicating data, and moving from data to information to action.

Prerequisites

  • Prerequisite(s): third year standing.

Conditions and arrangements

  • Also listed as ISAP 3001 .
  • Prerequisite(s): third year standing.
  • Lecture three hours per week.
Reference text in its original language

Data analysis strategies to tackle real-world, wicked problems. Includes a hands-on applied environmental data science project with a variety of partners. Topics include: obtaining and working with data, exploring causal relationships, data ethics, communicating data, and moving from data to information to action.

  • Prerequisite(s): third year standing.
  • Also listed as ISAP 3001 .
  • Lecture three hours per week.

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/undergrad/courses/ENSC/

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