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General Assembly presents an intro to data science and analytics
Mon 14 November 2016, 18:00 – 20:00 GMT
What exactly is Data Science and why does it matter? How does it differ from analytics?
We live in a world with seemingly infinite data, and if you can learn the right balance of computer science, statistics, and information theory, there are lucrative opportunities available to you.
Discover case studies about how data science is uniquely positioned to solve major problems for a variety of companies. By the time you finish this class, you’ll have a better idea of what the data science field is, and more importantly, how you can help yourself get what the Harvard Business Review calls the “sexiest job of the 21st century”.
Over the years, John has added a number of strings to his bow. Statistician, geneticist, business analyst, startup founder, software developer, educator, non-profit strategist, data scientist, multi-instrumentalist! He currently runs a data science consultancy focused on helping businesses to identify and solve the challenges they face through a combination of research-grade statistical techniques, strategic analysis and a lean-startup engineering mentality. He also teaches the data science evening course and multiple workshops at General Assembly.
Until recently he was the Lead Data Scientist at YPlan. Prior experience includes business analytics at Apple Inc., genomics research at Imperial College London, building an ed-tech startup at Knodium, developing strategy & technological infrastructure for international non-profit startup STIR Education, and losing sleep to many a hackathon along the way.
He's also been known to dabble in violin; a concerto here, a pop gig there, occasionally conducting youth ensembles, and usually playing with his folk music band.