Data Science and Analytics MS
Academic Level
Middle School
Prerequisites
TBD
Length
TBD
# Theme
2021-2022
Problem Challenge: Use Google trends Analysis to review and analyze the emerging technology trends (biometrics, cybersecurity, data science, or quantum computing). Analyze keyword(s) using demographic/geospatial, time series, and related query data. If possible, predict the emerging technology trends over the next five years.
# 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.
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.
# Coordinators
Paul Wollenberg
Event Manager