Questions? Read our FAQs
Questions? Read our FAQs
Talk Data to Me is a monthly event series where we host thought-leaders from the San Francisco data community to discuss the possibilities that data brings to life.
Data + Education
This month we're bringing together data experts from Coursera, Google, and more to examine the impact of data on education and how we can use it moving forward.
Why It Matters
According to Forbes, “2017 will be the year big data goes mainstream … whether gathering data on the front end or making big decisions in the C-Suite, every single person in your organization must buy into the value [data] analytics brings.”
Data is everywhere, and it affects not only how we run our businesses, but how we live as individuals. Understanding the ways you can leverage data in your personal and professional life can help you find key insights, make smarter decisions, and elevate your career.
Marc Harper is a data scientist with an extensive background in applied mathematics, mathematical biology, bioinformatics, educational technology, information theory, statistics, machine learning, and consulting. He holds a doctorate in mathematics from the University of Illinois, bachelor's degrees in mathematics and physics from the University of Florida, and was a postdoctoral scholar at UCLA. Marc has published numerous scientific papers, contributed book chapters and to open source projects, and has presented detailed analyses and data visualizations countless times to a wide range of audiences. As a consultant he created data- and statistically-driven products in biotechnology and educational technology. Marc loves to teach people and computers.
Data Science Immersive Instructor,
I graduated from the University of Chicago where I studied Applied Math and Statistics. After graduation, I worked under Rayid Gahni, President Obama's Chief Scientist, to data mine earmarks from congressional bills. In industry, I've built data products to predict home valuations and renovation costs and applied deep learning for diagnoses of medical imagery. I enjoy thinking about how we can augment human learning using machine learning. I am excited to help shape Data Science education through GA and empower up and coming Data Scientists to build useful data products.
Katherine Wong is a Data Scientist at Coursera, an online education company with a mission to transform lives through access to high-quality education. She currently leads experimentation for Coursera's growth efforts -- powering data-driven iteration on the user flows from logged-out homepage through course enrollment across web and mobile. Prior to Coursera, Katherine worked on mobile and marketing analytics at Disney. She holds a B.S. in Applied and Computational Math with honors from Caltech.
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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