Introduction to Analytics and Big Data

Code: COMP1965

Course description

Students examine the organizational goals and value provided by analytics and big data systems and processes. They learn the terminology and operating principles of these powerful technologies, as well as the planning aspects to implement them. Studies include: analytics as it applies to various business needs, predictive analytics and the role of statistical analysis and modelling, visualization, the concepts of business intelligence and decision support. Students also examine aspects of data management to facilitate analytics: data cleansing, the concepts of ETL (Extract, Transform, Load) systems, the role of big data technologies and the new dimensions of data management and insight they provide. Students review the goals and roles of the stakeholders involved in analytics projects as well as key planning aspects for these projects.

Course details

Hours: 21
Credits: 2
Prerequisites: None
Corequisites: None

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Credit transfer

Have you taken this course or an equivalent course?
Contact the Credit Transfer Office.


Delivery Options

Classroom Delivery: In-person instruction that takes place at a college campus.
Online Delivery: Content is delivered entirely online through self-directed components, allowing you the flexibility to learn anytime from wherever you are.
Remote Delivery: Technology-enabled virtual instruction that takes place outside of a physical classroom. Remote delivery includes some form of scheduled real-time virtual classes or drop-in times, as well as self-directed components.
Hybrid Delivery: Instruction that includes a combination of online or remote delivery, and some classroom activities.

Registration dates

Not all courses are offered each term.

Spring 2021 registration opens February 1, 2021. Fall 2021 registration opens July 5, 2021.