Student Data Hackathon

Student Data Analytic Hackathon – Morning Kickoff Sep 30 (awards ceremony Oct 12)

Info and Registration

Flyer

What?  An event sponsored by the  San Diego Workforce Partnership, Voice of San Diego and the School of Leadership and Education Sciences at USD and Biocom.

Who?   Students from the high school through PhD level.

What?  A cleaned-up version of San Diego County public school data released by the State to answer some really interesting questions about students

Why?    Prizes will consist of cash and internships.  Last year winners did internships at Illumina and Scripps Translational Science Institute.

Data is everywhere. And when used correctly, data can be “hacked” to reveal important trends, patterns, and conclusions that have the potential to better shape the health and future of our community. Data analytics play an increasingly large role in the operations of Biocom’s member companies, who are creating more jobs every year in this field but struggle to find qualified candidates to fill them.

This year’s Biocom Institute Student Data Hackathon will convene student hackers to analyze a large data set compiled by the Voice of San Diego for their fall 2017 Parents Guide to Schools. The data set includes information about the 700 public schools in San Diego County.  The goal is to identify insights that can lead to better decisions, better use of resources, and more equality of opportunity for students.

Attendees will compete for cash prizes and internships and leave with valuable experience using real-world data that is sure to inspire actionable results for our schools while also exposing students to opportunities for careers in various data professions. The San Diego Workforce Partnership is partnering to help elevate opportunities for data heroes, including internships and career pathway.
Students with varying skill levels will have an opportunity to compete and by choosing questions at three levels of difficulty:
1. Descriptive Statistics
2. Correlational
3. Predictive Analytics