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Mar 4, 2024 · 15 Data Science Summer Programs for High School Students 1. Johns Hopkins Center for Talented Youth: Data Science and Statistics. Cost: $4,880. Location: Johns Hopkins University, Maryland. Application Deadline: Rolling admissions. Program Dates: Varies by session. Selectivity: Moderately selective. Eligibility: Grades 7-12 (Advanced students)
- Research Science Institute at MIT. Age: High school juniors only. Location: Cambridge, MA. Length of Program: 5-6 Weeks. Application Due: December 13, 2023, 11:59pm E.T.
- Polygence. Age: 12+ Location: Remote. Length of Program: Varies. Application Due: Ongoing. Hey! It's us! The Polygence Data Science Summer Research Program is a program for high school students who are passionate about data science.
- Inspirit AI Scholars. Age: High School Students from Grades 9 to 12. Location: Remote. Length of Program: 10 session (25-hour) Application Due: Winter 2023: December 15, 2023.
- Stanford Pre-Collegiate Summer Institutes: Data Science. Age: High School Students from Grades 9 to 12. Location: Remote. Length of Program: 2 Weeks. Application Due: TBD.
1.Veritas AI - AI Fellowship. Veritas AI focuses on providing high school students who are passionate about the field of AI a suitable environment to explore their interests. The programs include collaborative learning, project development, and 1-on-1 mentorship.
- Current Paradigms in Data Science Training
- Why Should Students Start Learning Data Science in High School?
- Don’T High Schools Already Teach Data Science?
- How Should We Teach High School Students Data Science?
- Summary
Presently, most students are only exposed to computer science or computational thinking during high school and first interact with Data Science after entering college or in the workforce. Computational thinking, however, is only one piece of the data science puzzle. Moreover, computer science and technical knowledge requirements are constantly evol...
A 2019 report, by the National Association of Manufacturing and consulting firm Deloitte predicted that while the U.S. will create 3.5 million STEM jobs by 2025, approximately 2 million jobs will go unfilled due to a lack of skilled workers. In particular, these jobs will require workers with adept technological, computer, and critical thinking ski...
Most high schools teach introductory computer processing and computer science, and some have also incorporated lessons on the basics of newer technologies. Unfortunately, few high schools possess curricula dedicated to learning data science. Technological advances and the evolution of how society interacts with technology is continuously evolving. ...
Effectively teaching high school students data science begins by setting clear and effective curriculum goals. These goals will, in turn, dictate course staffing requirements for the defined curriculum. While coverage of technical topics is expected, course curriculum should be designed to balance technical and non-technical topics. Every student w...
Data is a growing commodity in a variety of industries from business and finance to healthcare and academic research. As technology advances and provides easier, broader access to vast and complex data sets, the demand for skilled data scientists to manage and analyze the data will only continue to increase. The current generation of high school st...
The Young Data Scientists Quest is a high-school, team-based program that challenges students to explore real-world applications of data through diverse lens from problem solving, community research, entrepreneurship, engineering, visual arts, and more. Learning Resources.
Feb 7, 2023 · Data Science Research Opportunities for High School Students. 1) DSI Summer Lab. Hosting Institution: The University of Chicago. Cost: Paid internship. Format: In-person (Chicago, IL) Application deadline: February 15, 2023.
