The DataSphere Lab is proud to offer to the community a seminar series that will help new and intermediate users of technology and analytics to advance their skills in topics that are meant to complement what they learn in their undergraduate and graduate studies. Rooted in industry applications, these topics will be dynamic and represent what practitioners leverage to solve the Analytics and Big Data problems of the day.
UPCOMING SESSIONS | DATE | REGISTRATION | LOCATION |
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Ethics in Data with Emery Dittmer | 翱颁罢听31 狈翱痴听13听(尝耻苍肠丑听&补尘辫;听尝别补谤苍) 狈翱痴听14听(别惫别苍颈苍驳) |
Details coming soon | Details coming soon |
Customer Segmentation in Banking with Sebastian Salazar The seminar will focus on Customer Segmentation in the Banking Industry, offering a 45-minute overview of customer segmentation, how banks apply it, relevant Artificial intelligence and machine learning algorithms, and a practical coding example. The audience is broad, with no specific group targeted, though the content is introductory, and Python coding knowledge is not required. Attendees will gain foundational knowledge of data-driven customer segmentation, particularly within banking. Sebastian has over 7 years in financial services and will include insights from leading customer segmentation projects at Scotiabank. The session will conclude with a coding exercise and Q&A. |
Details coming soon | Details coming soon | |
Meet up & DSL Pitch with PyData Montreal The PyData meetup will focus on the latest trends and advancements in data science and machine learning. It will cover breakthroughs in ML techniques, applications across industries, and innovations in data analysis and visualization. The intended audience includes data scientists, ML practitioners, professionals from various sectors (tech, healthcare, finance, etc.), and students. Attendees will gain insights into cutting-edge techniques, practical applications, and real-world case studies. The session will likely feature interactive elements like Q&A sessions and possibly live demonstrations, providing attendees with actionable knowledge aligned with current trends |
NOV 7 | Details coming soon | Details coming soon |
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