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Welcome to Data Science ATL

Join us in Atlanta for an engaging meetup dedicated to exploring the vast field of Data Science. This group aims to discuss not just the tools, like Hadoop and R, but the broader techniques including machine learning, data mining, and statistical modeling. With a growing demand for skilled data scientists, we encourage learning through books, online courses, and competitions such as Kaggle. Collaborate with peers, present your projects, and connect with guest speakers. Let’s transform Atlanta into a vibrant Data Science hub!

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Welcome to Data Science ATL

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Presentation Transcript

  1. Welcome to Data Science ATL Raj Bandyopadhyay Travis Turney

  2. Why this meetup? • We have excellent meetup groups in Atlanta for various data tools: • Hadoop • R • LexisNexis-HPCC • Tools are only a part of Data Science • We need a place for discussing broader Data Science techniques and other topics • Which brings us to the question…

  3. What is Data Science? Term coined jointly by Jeff Hammerbacher and DJ Patil • Machine Learning • Data Mining • Statistical Modeling • Exploratory Statistics • BIG DATA • Coding/Scripting/Hacking • Data visualization • Infographics/mashups • Business Intelligence • Qualitative skills Drew Conway’s famous Venn Diagram

  4. That looks like a lot… • Companies want ALL of those skills • Ideally in ONE person (!!) • This rare person is probably already... • Working at Google, Facebook, LinkedIn etc. • Running their own $$$ hedge fund from their cushy Manhattan penthouse • CEO of Cloudera • Serious talent shortage for other firms!

  5. How do WE get there? • Learn • Create • Compete • Collaborate

  6. Learn! • Books/Papers/Blogs • Whatever Nick recommends in his talk • O’Reilly and Manning Publishers • Online courses • Coursera: ML, NLP, PGM • Udacity: Robotic cars, Statistics • iTunes U: Lots of stuff!

  7. Create! • Lots of public data sets • data.gov • The Sunlight Foundation • Amazon public data sets • Most new companies provide APIs • Programmable web • Create mashups • Correlate diverse data sources

  8. Compete! • Kaggle.com: “We make data science a sport” • Win for analyzing and extracting insights from data sets • $500 to $3M – depending on the problem • Interview for a data scientist position at Facebook • Lots of other competitions out there • NYC BigApps • ChallengePost • Knight News Challenge

  9. Collaborate! • Form study groups (for a topic, course) • Work on projects • Compete on Kaggle (or other contests) • Tell us how you did it! • Use this meetup’s message board to get together for working/studying • Hackathons

  10. Let’s use this meetup • Present your stuff • Full-length talks (45-60 minutes) : in-depth discussion of a project, a topic you’re studying or a book/paper you’ve read • Lightning talks (10-15 minutes): quick overviews on particular problems e.g. • “This is how I’m using data analysis at work” • “We have this data that we’ve collected, but we have no idea what to do with it” • “Here’s a cool visualization tool/technique I’ve used” • Get people involved in brainstorming

  11. Let’s use this meetup • Find interesting guest speakers • Anyone doing cool work with data, no matter what field they’re from • Engineering, Statistics and other tech fields • Political Science, Economics and other social sciences • Business intelligence etc. • Companies building cool data products • Use the discussion boards! • Organize study sessions, group projects, Kaggle competition teams • Beer outings

  12. Summary • Data Science is an interdisciplinary field • Very few experts and lots of demand • Lots of resources to learn • Let’s use those resources, and collaborate using this meetup to build Atlanta up as a Data Science hotspot

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