Introduction to Data Science


Contact us for details

Length of Course

3 hours

Delivery Method



$425 CAD


This masterclass will provide a systematic review of the data science ecosystem. It will focus on the main pillars of data engineering, data analysis, data protection, and data ethics, emphasizing the interdisciplinary nature of the field. It will also discuss the social and public policy aspects of data science and give examples from application domains.


Tamer OzsuM. Tamer Özsu is a University Professor of Computer Science at the David R. Cheriton School of Computer Science of the University of Waterloo where he holds a Cheriton Faculty Fellowship. He also holds a Distinguished Visiting Professor position at Tsinghua University. He is the Founding Director of Waterloo-Huawei Joint Innovation Laboratory since 2018. His research is in data engineering aspects of data science particularly addressing data management issues with two foci: management of non-traditional data and large-scale distributed data management.


The masterclass format is a concise summary of 4-5 sessions delivered over a 3-hour period. Upon completion of the masterclass learning objectives, participants will receive a BEI certificate.

Proposed Agenda

  • Introduction to Data Science
  • Data Engineering
  • Break
  • Data Analysis
  • Data Protection
  • Data Ethics

To Register