Toolkit
Data Science: Career Exploration
DataSetGO: Careers in Data Science
DataSetGo Program Video
Data Science Foundations Course At-A-Glance
Grade Level:
9-12
Languages:
English & Spanish
Length:
3 digital courses with a total of 7 lessons, 15-30 mins each
Curriculum Fit:
Economics, Math, Statistics, and College & Career Prep
Standards:
Common Core Standards in Statistics & Probability, International Standards for Technology in Education (ISTE) Standards
Lesson Plans
Expose your students to the field of data science and the chance to win $5000 in educational funding! Download the following lesson plan for access to a free digital course, a chance for your students to win the Distinguished Scholar Award, an in-class data visualization activity, and an on-demand webinar featuring data scientists in a variety of industries.
Download the following resources to use with students, grade 9-12. This lesson plan includes a deck to guide students through scholarship application and a data visualization activity and project rubric to be completed in class.
Student-facing Slides (PDF)
Student-facing Slides (PPNT)
Lesson Plan (Word)
Data (City Health Equity, XLS)
Lesson Plan (PDF)
Distinguished Scholar Award
DataSetGo Distinguished Scholar Award
The Distinguished Scholar Award is open to any Principal Foundation student in grades 9-12 who has completed at least one of the Data Science Foundations and Data Science Exploration: Financial Wellness digital lessons.
Application Deadline:
Entries open September 14, 2026 and must be submitted by April 30, 2027.
Prize:
$5,000 in Educational Funding
Great news! If you bring a DataSetGo event to your classroom, one of your students will be guaranteed to win a $5,000 award in educational funding.
Interested in working with us to bring this webinar opportunity live to your classroom? Please reach out to Maura FitzGibbon at [email protected] directly to request more information.
On-Demand Webinars
Follow along as data scientists discuss their journeys, insights, and experiences from a variety of industries like sports, AI, and entertainment. Each webinar is joined by students who have applied for a national Data Science “Distinguished Scholar” award of $5,000 in academic funding, delivered by volunteers from Principal® Foundation and Principal Financial Group®. Additionally, select students share their experiences taking the course and completing a data visualization activity and Q&A session.
Atlanta GA
January 2025: Brian Chan, Education
Brian Chan
Data Product Manager
Brian has ten years of working experience as a data product manager, having worked in the supply chain, logistics, and ed-tech industries at Google, Flexport, and Everfi. He loves analytics, visualizations, and telling an immersive data story for all things in life. Off the job, he’s a community leader and operations director at Project by Project. He loves to cook and play piano, and also loves picking up his saxophone when he can. Most recently, he’s been traveling the world as a digital nomad before landing in NYC and starting his journey of self-discovery and growth on the East Coast.
Minneapolis, MN
March 2026
Des Moines, IA
April 2026
Minneapolis, MN
February 2024: Chris Fonnesbeck, Sports
Chris Fonnesbeck
Principal Quantitative Analyst, Phillies
Chris is the Principal Quantitative Analyst in Baseball Research & Development for the Philadelphia Phillies and an Adjoint Associate Professor in the Department of Biostatistics at the Vanderbilt University Medical Center. His research interests include computational statistics, machine learning, Bayesian statistical methods, and applied decision analysis. He hails from Vancouver, Canada and received his Ph.D. from the University of Georgia.
Washington, D.C.
December 2023: Natasha Singh-Miller, AI
Natasha Singh-Miller
Data Scientist, City of Norfolk, Ph.D. in Artificial Intelligence
Natasha Singh-Miller studied Computer Science and earned her Ph.D. in Artificial Intelligence from the Massachusetts Institute of Technology in 2010. Since then she has worked as a researcher at Sandia National Labs, a data scientist for the City of Virginia Beach, and is currently a data scientist for the City of Norfolk. She is passionate about the impact of data science and AI on our community.
Dallas, TX
October 2023: Matt Lozier, Entertainment
Matt Lozier
VP, Finance and Analytics @ Frndly TV
Matt Lozier, VP of Finance and Analytics at Frndly TV, discusses how data science has transformed the industry of entertainment, from audience engagement to business strategy.