DATA SCIENCE I: METHODS AND CONTEXT (DS5060)

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This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.

Code: 
DS5060
Name: 
DATA SCIENCE I: METHODS AND CONTEXT
Discipline: 
DS (Data Science)
Type: 
Regular
Level: 
Graduate
Credits: 
4
Can be taken twice for credit?: 
No
Pre-requisites: 
College Level=New Student - Grad OR College Level=Graduate OR College Level=Graduate - Continuing
Co-requisites: 
None

Learning Outcomes

  1. Students will demonstrate knowledge of the ethical, legal, environmental, social and technical challenges related to data collection, storage, analysis and communication.
  2. Students will demonstrate a good understanding of the processes involved in extracting meaning from data, in order to engage with complex issues from multiple perspectives. This includes showing critical knowledge of the potentials and limitations of data.
  3. Students will be able to perform simple data manipulations and visualizations using tools such as spreadsheets, geographical information systems and Python code.

Offering(s)

Term Code Name
Fall 2024 DS5060 DATA SCIENCE I: METHODS AND CONTEXT

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