DATSCI X001 - STEMcoding Data Science Training for Teachers
“Data Science” is emerging both as an alternative to Algebra 2 and as a tool to enhance various science and math courses. The OSU-based STEMcoding project has been developing data science activities since 2017 that align with traditional science and math learning goals as well as computer science standards. This course introduces these classroom-ready resources, many of which use spreadsheet skills and can be paired with an Excel industry credential exam. Participants will also explore connections between data science and Artificial Intelligence (AI).
Delivery Options
Live Online: Participate in real time through scheduled virtual sessions. Engage with the instructor and other teachers through interactive discussions, demonstrations, and hands-on practice.
Hybrid: Participate in 2 days of in-person training at Ohio State University – Marion followed by 7 days of live online sessions.
Time to Completion
This course requires approximately 30 hours to complete.
Course Completion Requirements
Requirements will be determined by the instructor and may include participation in online sessions, completion of course activities, and submission of assignments.
Technology Requirements
- Access to Google Sheets or Microsoft Excel
- Reliable internet connection
- Recommended browsers: Google Chrome or Firefox
- Laptop computer or tablet with attached keyboard
What You’ll Learn
- Use specific examples to illustrate how data science skills can be integrated into a relevant math or science course.
- Become familiar with data science activities connected to special days such as Earth Day and Pi Day.
- Demonstrate data analysis and visualization using a spreadsheet program such as Google Sheets or Excel.
- Modify JavaScript code to accomplish specific computational tasks.
- Explain, in a qualitative way, how statistical models form the foundation of artificial intelligence.
What You’ll Earn
- A Certificate of Completion.
- Up to 3 CEUs issued by Ohio State University College of Arts and Sciences Department of Physics.
Additional Information
This course is designed for K–12 teachers in math, science, or computer science who wish to integrate data science and introductory coding into their curriculum using accessible, classroom-ready activities. The cost for this course includes a subscription to software for classroom use.
This course is organized by faculty associated with the STEMcoding project (http://u.osu.edu/stemcoding) Many of the activities that will be discussed are also described on the STEMcoding youtube channel (http://youtube.com/STEMcoding). Participants can select some of these activities to put into an existing science or math course, or they can use this as a basis for teaching a year long “data science” course. Starting in fall 2026, any licensed high school math teacher in Ohio will be able to teach data science as a year long course. Ohio teachers with a computer science endorsement can do the same. Presently, in Ohio, high school science teachers are not permitted to teach “data science” as a science course, but these activities can enrich and modernize existing science courses. Middle school teachers are welcome to participate in the training so long as they understand that the main focus is high school level content. Many of the hands-on data gathering activities can translate to middle school classes. Finally and importantly, there are no strings attached to this training. There is no commitment to participate in a research project, or to use any of these activities in your classroom.
For questions about course content or learning objectives, please contact Chris Orban.
Contact Us
For questions about enrollment, payment options, technology support, or course records, please contact our Enrollment Support team. Inquiries are typically answered within 24 business hours.