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Livestream: Transitioning from Math to Data Science with Taylan Bilal (9.7)
September 7, 2017 @ 8:30 pm - 9:30 pm
NOTE: Please sign-in at via the Livestream link below. Thank you!
Data science is still an emerging field, which requires a broad set of skills, including a strong mathematical background. Volume, variety and velocity of data being generated makes for an environment where companies are drowning in data but starving for information. Dr. Taylan Bilal intends to talk about possible roadmaps from academia and more specifically mathematics, to data science, including his personal journey.
About our Speaker
Taylan Bilal is an industrial engineer, mathematician and a data scientist with a passion for teaching and using data to solve real world problems. Taylan comes to Metis from Versium Analytics, where he led the data science team, involved in various projects such as fraud detection, churn prediction and building an automated self-service predictive analytics/machine learning platform. He has a Ph.D. in Algebraic Geometry from the Mathematics department at the University of Southern California.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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