# Description
Data science is a broad term for implementing a variety of methods to find connections between data to gain insightful knowledge about a particular issue. Data Analytics is an even more focused way of sorting through collected data to make predictions.
Participants conduct research on an annual theme or topic, document their research in a supporting portfolio, and create a display. Semifinalist teams participate in a timed, on-site challenge in which they must review specific data sets, provide insights, make predictions, and present their findings.
# Theme
Determine the potential "movie success" of a fictitious feature film based on different public metrics, such as, but not limited to box office revenue, date of release, movie genre (selected by the team), movie production budget, and more.
Careers Associated
Data Scientist
Data Analyst
Actuary
Economist
Epidemiologist
Forensic Accountant
Market Researcher
Meteorologist
Operations Research Analyst
Quality Engineer
# Oklahoma Eligibility
Entries are limited to three (3) teams of two to three (2-3) individuals per chapter.
# Resources
https://datasetsearch.research.google.com/
# Coordinators
The people listed below are familiar with the event and available to give guidance. Please email them if you have questions.
Stephen O'Neal
Event Manager
Misherrice James
Event Coordinator