Course Description

Course List

FIMS 9730 (Winter 2024)   Data Science for Information Professionals

Instructor: I. Ajiferuke

Course Description
This course will investigate: 
Data types: little vs big, and structured vs unstructured. Data science process: collect data, transform and clean data, analyze data, visualize and communicate data. Data science tools. Data visualization. Predictive analytics. Text and data mining. Clustering and social network analysis. Privacy, security, and ethics in data science. 

Course Syllabi for FIMS 9730 (Winter 2024)
The syllabi for this course is a PDF file that requires a FIMS account to view

Prerequisites: The completion of a graduate level course in research methods, or quantitative methods, is required.

This course can be applied to the MLIS PCA -Information and Communication Technology. MLIS students will need to apply for an exception to the PCA (see myPCA's).



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