Tag: Data

NBA Hackathon

Hope you’re well.  The NBA is hosting its annual Hackathon and we would love to engage with your students and alumni that are interested in data, analytics and technology.  This is an opportunity to leverage NBA statistics and to showcase programming, visualization and data skills in front of many distinguished judges as well as NBA team and league office hiring managers.  Below is some additional information and background regarding the event.

On September 22nd, 2018, students, statisticians, developers and engineers will take part in the third annual NBA Hackathon. The event will be held in the greater NY/NJ area.  The 2018 NBA Hackathon will feature two tracks, basketball analytics and business analytics. Teams accepted to the Hackathon will build tools to solve important and challenging problems in the NBA. Their work will be presented to a panel of expert judges and an audience of NBA personnel, media, invited guests and the other competitors. Prizes will be awarded to the top three teams of each track, with a grand prize that will include lunch with NBA Commissioner, Adam Silver.

The NBA Hackathon is open only to current undergraduate and graduate students studying at accredited universities in the United States or Canada (excluding Quebec), or those who graduated from an accredited university and reside in the United States or Canada (excluding Quebec). Only invited guests and competitors will be allowed to attend. 

You may apply directly here.  Applications will be reviewed on a rolling basis.

 

Please let me know if you have any questions.

 

All the best,

Data Incubator

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Boston
  • Washington, DC.

Dates: All sections will be from 2018-09-10 to 2018-11-02.

Application Link: https://www.thedataincubator.com/fellowship.html#apply?ref=wb21lbGlzc2FAdnQuZWR1Cg==

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.