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Questions? Read our FAQs
Overview: It’s a data world and we’re all living in it. Does hunting for and analyzing data to predict the future sound like fun? Looking for a way to combine your love of programming and statistics? Then you may be considering taking the leap into the “Best Job in America.”
Our panel of local data experts breaks down the growing field of data by demystifying the difference between data science and data analytics, explaining the importance of data in business and product decisions, and highlighting ways data can advance your career.
Why it Matters: Regardless of your job function and industry, it is becoming increasingly crucial to be able to make better decisions based on data. Data Science allows you to understand, draw insights from, and leverage your data more effectively.
Schedule: 6:30 - Registration and networking 7:15 - Panel discussion 8:00 - Q&A 8:20 - Meet the panelists
Data experts across many industries will candidly discuss:
Senior Analytics Manager ,
Ken specializes in helping marketers maximize the value of data that is generated through websites and mobile applications. He is an expert in measurement strategy, tag management, and machine learning who has worked with brands such as: AT&T, Coca-Cola, and Apartments.com.
In 2015, Ken's work with American Cancer Society was recognized by Google with their Google Analytics Award for Excellence, and in 2016 he was nominated as a rising star by the Digital Analytics Association.
Director of Learning & Enablement,
Chris Hemphill leads learning and enablement at a healthcare IT firm that helps hospitals turn massive amounts of disparate data into insights and actions that improve patient experience & engagement. His experience at General Assembly enabled him to help forge a relationship between sales and data science and develop machine learning applications for the benefit of the sales and operations teams.
Gabriella is a data scientist at Opex Analytics, an advanced analytics and optimization consulting firm focused on enhancing companies' core operations through AI. She earned her undergraduate degree from Tulane University in New Orleans, LA and her graduate degree from Georgia Tech. While at Georgia Tech, Gabriella applied her skills in mathematics and analytics to a variety of optimization and machine learning projects. Prior to joining Opex, Gabriella worked as a data analyst at the boutique sourcing and procurement consulting firm Insight Sourcing Group, providing data analysis and database support for sourcing projects and internal operations.
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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