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Looking to tackle big data challenges? Experience what learning Data Science at BrainStation is all about. Both our Full-time and Part-time Data Science courses are effective mediums for achieving your digital goals, as the programs are hands-on, project-based and led by active industry experts.
If you’re curious to dive deeper into Data Science, this 90 minute workshop is an excellent precursor to our Full-time and Part-time offerings while providing a sense of the BrainStation learning experience. You'll have a chance to explore our learning model, custom portal and chat with Learning Advisors.
This workshop will provide you with a fundamental understanding of what Data Science consists of. You'll familiarize yourself with various tools that Data Scientists use on a daily basis, as well as gain insight towards emerging practices in the field. We'll break down the significance of the field and explain how it differentiates itself from other Data practices.
The workshop will close with a hands-on exercise allowing you to apply and contextualize some of the practices and tools used to draw insights from data.
*Please remember to bring a charged laptop to the workshop as outlet space is limited.
*Event is non-refundable and non-transferable.
Senior Manager of Data Science at RBC
Fouad has over 10 years of experience in data science and educational outreach. He currently works as a Data Scientist at RBC, developing machine learning models that predict risk and provide business insights. Prior to that, Fouad worked as a data scientist at The Ontario Institute for Cancer Research where he was part of many cancer research publications and computational developments that aimed to improve cancer prognosis and enhance patients' quality of life.
Fouad is also a very active member in the teaching community. In addition to instructing a statistics course at Seneca College, he has taught a variety of bioinformatics workshops in Toronto, New York, Montreal and São Paulo that helped scientists learn programming and data analysis skills.
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