
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 College 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).
Prerequisites
You must have completed our COMP 9792 Introduction to Big Data Science and Analytics course.
Additional Information
Exam Policies:
This course includes an exam voucher, which entitles you to one attempt at the Arcitura Big Data Scientist Certification exam. To request an exam voucher, you must contact the Program Co-ordinator, Olena Gubych, at olena.gubych@georgebrown.ca within your course section dates. The exam will be administered online through Pearson Vue or Arcitura. You will have 110 minutes to complete the exam. (The exam structure and duration is subject to change without notice.) At the exam, you must present photo identification.
Hours and Fees
Hours
Fee
Course Sections
- Contact Information
- Contact:
- Technology Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- Office Location(s):
Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.


