The Globe & Mail and Communitech have teamed up with WeCloudData to present Data Science in Action, a two-day workshop designed to help you build an end-to-end data science pipeline in real life!

Data Science is considered one of the sexiest job in the 21st century and it is becoming an increasingly important function in today’s data-driven enterprise. And yet, for many businesses, the barrier of entry is very high due to lack of know-how, difficulties in hiring the right people and team, lack of prior experience, and more.

Join us at The Globe’s new location, LAB351, for this two-day data science workshop, where we’ll provide a crash course in what all the data science and big data terms mean, how they play a role in successful projects, how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. And since the best way to learn is by doing, we’ve designed an end-to-end data science project for workshop participants.


    • how to collect and ingest data
    • how to leverage the agility of the cloud platform
    • how to work with big data tools such as Hadoop and Spark
    • how to build machine learning models for classification
    • how to deploy the model and publish it as a data API
    • how to define and manage the project in an agile team
    • how to build a data pipeline and knowing when to recruit which skills sets for each role

Upon completion of this workshop, participants will:

    • acquire an understanding of the key trends in Data Science
    • become familiar with the hottest big data technologies and when to use them to your advantage
    • gain the necessary skills to recruit, develop and lead a data science team
    • built an end-to-end data science pipeline to perform real-time analytics on streaming data and visualization

Parking: There is a public Green P Carpark lot on the corner of Front and Parliament Streets. The address for the lot is 44 Parliament Street.

Cancellation Policy: Full refund guaranteed up until 5:00 pm on June 1, 2017.

Back to all