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National Student Data Corps – Educator Central

Welcome Educators!

Data science is more important than ever in today’s digital world and has applications in all disciplines. The resources below can help you whether you are building a new data science program at your school, running a lab and looking for datasets, or just interested in how you can incorporate data science topics in your classroom.

Open Courses and Resources

Build a data science curriculum that works for your students using these materials from different universities and organizations.

Big Data for Little Kids

This curriculum creates opportunities for families to connect over data science and literacy.

Data4Kids

Data4Kids created five data stories for educators to access and modify for the classroom.

Data 8: Foundations of Data Science

This course from UC Berkeley covers statistics, data visualization, machine learning, and basic programming in Python.

Data: Past, Present, Future

This Columbia University course teaches algorithms, data manipulation, and ethics.

Image of computer screen with code as seen through glasses lying on a table — Data Science Ethics

Visit NSDC – Learner Central for resources on data science ethics issues including privacy, informed consent, and bias.

Institute for Data-Driven Dynamical Design (ID4)

ID4 aims to transform how scientists and engineers harness data when designing materials and structures.

Diagram of data collection cycle — International Data Science in Schools Project

This international collaborative project provides a pre-calculus course for high school students and a course for educators on teaching data science.

University of Rochester — Introduction to Data Science Course

Created and taught by NSDC Founding Committee member Ajay Anand, this course was adapted from the Data 8 class. Assignments and workbooks can be found at bit.ly/data8assets.

Industry 4.0 , Machine learning and artificial intelligence concept. Ai chipsets for robot arm , driveless cars , sports game chips in smart factory background — Investing in America’s Data Science and Analytics Talent

This joint report from the Business Higher Education Forum and PwC looks at eight actions for change to put the supply of skills in balance with the demand.

Journal of Statistics and Data Science Education (JSDSE)

JSDSE is a 32 year-old open-access journal that is published jointly by the American Statistical Association and Taylor & Francis.

Students work together on laptops in a cafe — The Missing Semester

This MIT course covers skills often skipped in computer science courses, including the command line, data wrangling, and text editors’ use in version control.

Open DS4All

Explore lectures, instructor notes, Jupyter notebooks, and assignments on topics including data wrangling and ML.

Open P-Tech

This IBM curriculum covers cybersecurity and artificial intelligence. Students can register to earn digital badges to demonstrate their accomplishments.

Business man hands typing and surfing the internet, searching the information via laptop computer, close up. Businessman online working at modern office, business and technology concept — Numeracy Infusion Course for Higher Education

Whether called numeracy, quantitative literacy (QL), or quantitative reasoning (QR), the infusion of quantitative materials throughout the curriculum is an imperative of higher education.

Data Science Programs

Learn about data science programs at different institutions.

Binghamton University MS in Data Analytics

This program is a collaboration across STEM, business, and engineering departments. Students learn how to analyze data and work on projects tackling real-world problems.