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Project
NEBDHub & NSDC Transportation Data Science Project (TDSP)
The Transportation Data Science Project (TDSP) is a hands-on opportunity to apply data science techniques to real-world transportation challenges, focusing on making roads safer for everyone. Organized by the Northeast Big Data Innovation Hub (NEBDHub), the National Student Data Corps (NSDC), and the U.S. Department of Transportation Federal Highway Administration, the TDSP welcomes participants from all educational backgrounds and skill levels.
Project Highlights:
Real-World Dataset: Leverage New York City OpenData to develop data-driven insights.
Skill Development: Gain experience in data cleaning, visualization, Python programming, geospatial analysis, time series analysis, and critical thinking.
Supportive Environment: Monthly virtual mentoring sessions and guidance from experts like Dr. Sharon Di of Columbia University.
Flexible Formats:
Explorer TDSP: Introductory project with six milestones, designed for beginners (6–8 weeks to complete).
Navigator TDSP: Advanced project with a focus on deeper analysis and modeling.
Final Deliverables:
Submit a Colab Notebook and a one-page virtual poster board showcasing your analysis and visualizations.
Select participants may be invited to present their findings at a live event hosted by NSDC and the DOT/FHWA.
Incentives:
Virtual certificate of completion.
Showcase your work on the NSDC website.
Networking opportunities with mentors and peers.
This free project is ideal for learners seeking practical data science experience and an opportunity to contribute to meaningful transportation solutions. Register today to start your data science journey!
Provided By:
Deadline:
Participants can register and begin the project at any time. The project is designed to be completed within 6 to 8 weeks, with flexible scheduling to accommodate participants' availability.
Fellowship
CourseKata Fellowship for High School Statistics and Data Science Teachers
Opportunity:
The CourseKata Fellowship offers high school teachers the chance to bring a modern statistics and data science curriculum to their students for free during the 2025-2026 school year. This fellowship is open to individual teachers and district cohorts, providing professional development, classroom materials, and student resources.
What’s Included:
Comprehensive Curriculum: A modern approach to statistics and data science aligned with Common Core standards.
Student Access: Free access to online materials, coding exercises, and independent reading activities.
Professional Development: Nine study group sessions, workshops, and ongoing tech support.
Tech Integration: LMS compatibility with platforms like Canvas, Blackboard, Moodle, and more.
Networking Opportunities: Collaborate with educators nationwide to share ideas and strategies.
Eligibility Requirements:
Plan to teach statistics, fourth-year math, or data science during the 2025-26 school year.
New to CourseKata and with approval from administration to use the materials.
Commit to participating in study groups and fellowship activities.
Key Dates:
Applications are considered on a rolling basis. Deadlines:
January 5, 2025
March 2, 2025
April 20, 2025
Why Apply?
This fellowship empowers teachers to bring innovative, real-world learning to their classrooms while receiving support, resources, and a dynamic professional community.
Learn More or Apply Today:
Contact Christa Luft (christa@coursekata.org) or visit the CourseKata website for additional details and to preview the curriculum. Applications take less than 15 minutes!
Provided By:
CourseKata
Deadline:
January 5, 2025
Professional Learning
InSTEP: Free personalized professional learning
InSTEP is a new way to offer personalized professional learning to support teachers and instructional coaches in developing expertise in teaching statistics and data science and grades 6-12. With InSTEP you can:
- Personalize learning to meet your professional needs through customized recommendations, collaborative spaces, and choice of learning modules and microcredentials.
- Build your skills in data investigations and innovative teaching approaches based on practices of data professionals and research on students’ learning with data.
- Expand your professional collection of resources and technology vetted by experts in statistics and data science education.
- Earn certificates to apply to CEUs.
Provided By:
NC State University, College of Education
Deadline:
Funding Opportunity
Accessibility Innovation Grant
We support projects that use technology to empower people living with disabilities. We are looking for individuals or teams who are not only passionate about making the world more inclusive, but also connected with the communities they intend to benefit. We invest in ideas that are developed by or with people with disabilities.
Provided By:
Microsoft
Deadline:
January 13, 2025
Skill building
DataCamp Donates
DataCamp Donates is providing access to free data science training opportunities worth over $399 USD!
DataCamp offers over 410 courses on the latest technologies, practice exercises to sharpen your skills, assessments to test your knowledge on the subject matter, and projects that stem from real world queries. You'll even get access to extra features like Workspace, Certification, and Jobs!
DataCamp is committed to providing data training and bridging the skill gap. K-12 educators are the primary target applicants for this program, though anyone may apply.
Provided By:
DataCamp
Deadline:
Open Until Filled
Funding
INL K-12 STEM Education Grants
INL provides grants to support K-12 STEM education in Idaho, aiming to align future workforce needs with STEM learning. Applicants must have 501(c)(3) nonprofit status and submit a W-9 form. Funding is provided by Battelle Energy Alliance, with nearly $5 million awarded over the past decade. Applications will be evaluated competitively by a panel of judges.
Categories Supported:
Science
Technology
Engineering
Mathematics
Provided By:
Deadline:
January 13, 2025