Data Science
Gain indispensable data science skills in this 10-week evening course, on campus or online.
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Black Friday Deal: Take $250 off any 2024 workshop with code: BF2024
Cyber Week Savings: Take $2,025 off any bootcamp or short course starting before 3/31
Cyber Week Savings, Extended: Take $2,025 off any bootcamp or short course starting before 3/31
Black Friday Deal: Take £250 off any 2024 workshop with code: BF2024
Cyber Week Savings: Take £2,025 off any bootcamp starting before 31 March
Cyber Week Savings, Extended: Take £2,025 off any bootcamp starting before 31 March
Black Friday Deal: Take $250 off any 2024 workshop with code: BF2024
Cyber Week Savings: Take $1,500 off any bootcamp or short course starting before 31 March
Cyber Week Savings, Extended: Take $1,500 off any bootcamp or short course starting before 31 March
Get ahead of 2025's biggest tech talent shifts. Register for our December 11th webinar.
San Francisco
Bethany is an experienced data scientist / machine learning engineer who has spent the past 15 years working in the Bay Area across many different verticals including robotics, pharmaceuticals, computer vision, and ecommerce. She has experience building data teams and infrastructure, scaling data-driven insights across organizations, and deploying machine learning models (including recommendation engines) into production.
Bethany is currently using data science to optimize digital marketing campaigns across diverse channels to maximize customer lifetime value and retention rates, as well as establishing the relevant business metrics and KPIs. She is very passionate about data visualization and has extensive expertise designing dashboards for cross-company transparency and maximum insights.
In her free time, Bethany enjoys attending meetups and conferences and giving talks about her work to stay on the bleeding edge of data science research and technology.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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