
Introduction to Big Data Science and Analytics COMP 9792
Our Introduction to Big Data Science and Analytics course provides you with a comprehensive foundation in the principles and practices of big data while considering both a business perspective and a technical perspective. Learn about the opportunities and challenges of big data adoption as well as the benefits it offers across various industries. Gain an understanding of key data analysis concepts, common big data technologies, and how modern tools enable organizations to process and extract insights from vast datasets.
This course has been designed and developed by George Brown Polytechnic Continuing Education in partnership with Arcitura.
Note(s)
Passing this course earns you a micro-credential, which is provided to you as a digital badge that can be posted to social media platforms (such as LinkedIn).
Hours and Fees
Hours
Fee
Upcoming Sections
14 Dec 2026 – 14 Mar 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
8 Feb 2027 – 9 May 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
10 May 2027 – 8 Aug 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
14 Jun 2027 – 12 Sep 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
12 Jul 2027 – 10 Oct 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
9 Aug 2027 – 14 Nov 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
Past Sections
12 Oct 2026 – 10 Jan 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
9 Nov 2026 – 7 Feb 2027
Delivery Method:
Self-directed Online
Self-directed online classes use a learning management system (LMS) and offer teacher email support. A welcome letter with details about the LMS will be emailed to you.
- Contact Information
- Contact Department:
- Construction, Technology & Trades Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- 416-415-5000, ext. 4861
- Office Location(s):
- Casa Loma Campus, 160 Kendal Ave., Building C (CLC), Room C426
Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.


