- About Us
- Faisal Beg – Algorithms to Advance Research in Medicine
- Yasutaka Furukawa – Smart Building Technologies to Enhance Living Spaces and Create Opportunities
- Mo Chen – AI to Create Safe and Practical Robotics
- Sheelagh Carpendale – Understanding Data Through Interaction and Visualization
- Innovation to Improve 3D Navigation
- Voice AI is Helping Shoppers Make Better Decisions
- Geographic Information Science Can Help Better Track COVID-19
- Deep Learning to Inform Medical Diagnoses
- Protecting Killer Whales from Marine Traffic
- Using Big Data to Boost Athletic Performance
- Machine Reading for Literary Texts
- Finding a Cure for HIV with Big Data
- Linked Data for Women's History
- How Big Data Can Combat Fake News
- Algorithms for Safer Streets
- Discovering Wilde Data
- Deep Blue Data
- Big Data Meets Big Impact
- Previous Next Big Question Fund Projects
- Data Fellowships
- Using Data
- Upcoming Events
Data Fellowships: Data and AI
This six-week, part-time training program offers foundational data science and AI concepts that can be directly applied to your work and organization.
Designed and taught by leading data science and AI experts at Simon Fraser University, this training program enables emerging leaders from industry and government to develop data science and leadership skills. Through this outcome-focused experiential training program offered by SFU’s Big Data Hub, you will tackle a valuable business problem for your current employer or for a partner organization while gaining an introduction to all aspects of a data project workflow. You will come away with relevant knowledge, training, and a high-quality data project ready for field trial and implementation at the end of the program.
This program runs from October 18 to November 24.
What You Will Learn
- Data Project Workflow and Foundations
Analytical Mindset and Business Understanding
Data Collection and Management
Data Exploration, Analysis, and Machine Learning
Solution Evaluation and Communication
I took SFU Data Fellowships: AI Essentials in order to learn more about machine learning methods. My research is currently focusing on the production and transformation of scandals in news media, and this course will help me expand the range of analytical methods I can use to analyse large data-sets of news articles. The lectures were excellent, providing solid introductions to machine learning concepts and real-world applications. I would absolutely recommend this course as it is well-designed and taught by a professional and skilled team committed to creating a positive learning environment for all skill levels.
- Colette Colligan, Professor of English, SFU
Who is this for?
This course is for those interested in switching or expanding their career in the data science and AI fields. Designed to be practical and application-focused, this course ensures you can apply what you learn to your work environment immediately. Whether you are starting your career or a seasoned professional, SFU Data Fellowships gives you the knowledge and tools to train up your data science and artificial intelligence skills and apply more data rigorous methods or automated processes to your job.
Those who work in product management, project management, manage a team, looking to gain more technical skills, or who want to move into an AI, machine learning or data sciences role will find this course beneficial in advancing their career goals.
Why choose SFU?
TAUGHT BY LEADING EXPERTS
Our instructors, who have decades of experience in both development and state-of-the-art big data and AI research, will teach you in-demand skills, approaches, concepts and tools.
Gain hands-on experience working on complex data science problems, ensuring the knowledge you gained in this course can be directly applied to the real-world.
GET REAL-TIME FEEDBACK
This course is taught in a live virtual learning environment, enabling real-time feedback and encouraging you to build connections with your peers.
Network with Leading AI Experts
Throughout the course, our instructors will provide hands-on guidance with the course material, as well as answer any career related questions. There will be open communication channels to our instructors after the course ends in case you would like to connect further.
Participants are not required to have previous knowledge of Python but some experience in coding would be beneficial. This course is designed to accommodate people with different levels of programming knowledge, and you will gain value regardless of the degree of your previous coding experience.
Duration: 6 weeks
October 18-22 (8:30am - 12:30pm daily)
October 27 (11:30am - 1:30pm)
November 3 (11:30am - 1:30pm)
November 10 (11:30am - 1:30pm)
November 17 (11:30am - 1:30pm)
November 24 (11:30am - 1:30pm)
PhD, Artificial Intelligence and Cognitive Science
Scientific Director, SFU’s Big Data Hub and Professor of Computing Science
MSc, Computing Science, Big Data Concentration
Big Data Developer, SFU's Research Computing Group
PhD, Computing Science
University Research Associate, SFU's School of Computing Science
PhD, Computing Science, Adjunct Professor, School of Engineering Science, Simon Fraser University
PhD Candidate, School of Computing Science
Research Assistant, SFU's Big Data Hub
Will I receive SFU credit for this course?
This is a non-credit course for which you will receive a Certificate of Completion.
Can I take this course at my own pace?
This course offers a live, structured learning environment with learning objectives and activities for each day. You will need to be available during the designated class times.
What is the refund policy?
There are no refunds offered for this workshop, however you may transfer your seat to another person free of charge. For questions about seat transfers please contact email@example.com
What is SFU's Big Data Hub?
Simon Fraser University leverages the power of big data so Canada can lead in a digital world. With over a decade of leadership in the big data field, SFU’s Big Data Hub engages with our partners to fill critical talent shortages, generate new knowledge and contribute to an innovative economy. We connect government, industry and the community to deliver data-driven solutions to challenging problems. With 24 governmental partners and over 100 companies actively engaged, we are empowering people to use data for impact and social good to solve global challenges and transform society.