
Advanced Data Science COMP 9793
Our Advanced Data Science course provides an in-depth exploration of data science methodologies and analytical techniques tailored for big data environments. Learn how to approach data analysis and analytics in the context of large-scale datasets while addressing their unique characteristics, challenges, and requirements. Gain expertise in advanced statistical modelling, pattern recognition, clustering, and text analytics, and develop the skills needed to identify outliers and errors that impact data integrity and predictive accuracy.
This course has been designed and developed by George Brown Polytechnic Continuing Education in partnership with Arcitura.
Prerequisites
You must have completed our COMP 9792 Introduction to Big Data Science and Analytics course.
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.
12 Apr 2027 – 11 Jul 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.
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.
- 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.


