Resources in Data

Job matching like OK Cupid does relationship matching.

Play games get hired. Neuroscientists put job tests on steroids. Cool and a little scary. The two women behind the company are just cool.

NYC is taking the growing digital industry seriously. Look they made a website! Sorry kidding. News, jobs, events, newsletter, etc. I haven’t spent much time here yet, anyone else?

Looking for the start-up experience? The “Made in NY” stamp isn’t just for film and TV. See the lay of the alley list here.

Set all calendars to reminder! This Meetup fills up fast and for good reason. Interesting speakers at a swishy venue thanks to organizer Matt Turck, former managing director of Bloomberg Ventures.

This group runs excellent events ranging from Intro to R workshops to Mobile Network Fraud Analysis and Detection. 

Two professors teaching data visualization and interview people from academia and industry. A favorite is their interview with Prof. Tamara Munzner author of Visualization: Analysis & Design.

It’s skeptical in that he asks, “what’s really going on here?” with lots of popular topics in data science. Along with interviews Kyle does mini-episodes to explain things like k-nearest neighbor and map reduce through conversations with his liberal artsy wife, Linda.

Maybe working with data is like raising children. You love them to pieces, know how much trouble they can cause, but in the big world of life think they can do no wrong. Cathy O’Neil says yes, data is beautiful and wonderful but data is not only capable of  throwing a tantrum but also totally capable of pushing Bobby off the slide.

O’Reilly. Books and more! Check out their newsletter for daily deals and free PDFs galore!

Mo’ data mo’ problems? With data mining the more data you come across, the more patters you can [perhaps] see. This free PDF can show you the way.

Are you a New Yorker? Do you like things to be free? If you answered yes to both questions use your NYPL card to get FREE access to lynda.com courses, you pay enough for stuff around here! How much does a bagel and coffee cost in midtown these days? Exactly.

Do stuff! In the cloooud. Big stuff, little stuff, and use Google’s stuff! Pretty cool.

Open-source machine learning library for Python. Classification, regression, clustering, dimensionality reduction, model selection, and preprocessing oh my! See all you can do with their example page.

pandas takes the classic Python mathy and sciencey libraries and wraps them up together with a pretty bow on top. Data frames are your friend. Learn more from Wes Mckinney with this pandas tutorial at PyCon US 2012.

You wanna connect your SQL database with your pythons and pandas? Alchemy does that and more! Learn all about the magic with creator Mike Bayer with this tutorial from PyCon 2014.

Life Science Data Privacy, Integrity, and Security (PHL)