Suite 2600, 4720 Kingsway, Burnaby, Canada, V5H 4N2
Burnaby - Metrotown
Surrey - King Cross
7404 King George Blvd, Surrey, Canada, V3W 1N6
Richmond
5811 Cooney Road, Richmond, Canada, V6X 3M1
Kelowna - Landmark
1631 Dickson Avenue, Kelowna, Canada
Kelowna - The Innovation Centre
460 Doyle Ave, Kelowna, Canada
Maple Ridge - Dewdney Trunk Road
22420 Dewdney Trunk Road, Maple Ridge, Canada, V2X 3J5
Langley-Langley Business Centre
8661 201st Street, Langley, Canada, V2Y 0G9
Vancouver - Pacific Centre
701 West Georgia Street, Vancouver, Canada, V7Y 1G5
Vancouver - Park Place
666 Burrard Street, Vancouver, Canada, V6C 3P6
Victoria - The Atrium
Suite 301, 1321 Blanshard Street/800 Yates Street, Victoria, Canada, V8W 0B6
Burnaby -Burnaby Centre
Suite 200, 4170 Still Creek Drive , Burnaby , Canada, V5C 6C6
Port Moody - Brew Street
220 Brew Street, Port Moody, Canada, V3H 0H6
Vancouver-RBC Canada Building
Suite 1480, 885 West Georgia Street, Vancouver, Canada, V6C 3E8
Explore Our Courses
Introduction to Pre-trained Models
14 HoursAWS Cloud9 for Data Science
28 HoursJupyter for Data Science Teams
7 HoursKaggle
14 HoursPython Programming for Finance
35 HoursGPU Data Science with NVIDIA RAPIDS
14 HoursLast Updated:
Testimonials (3)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Course - Jupyter for Data Science Teams
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain