National Student Data Corps – Educator Central

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

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

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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 course integrates the teaching of algorithms and data manipulation with the political whirlwinds and ethical controversies from which those techniques emerged.

Data Science Ethics

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

DSC 101: Introduction to Data Science

Created and taught by NSDC Founding Committee member Ajay Anand, this introductory course was adapted from the Data 8 course. Assignments and corresponding code workbooks can be accessed at
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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.


Explore lecture slides, instructor notes, Jupyter notebooks with hands-on examples, and homework assignments on topics including data wrangling and machine learning.


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

The Missing Semester

This MIT course covers the skills often skipped in computer science courses. Help your students master the command line, learn data wrangling, and use a powerful text editor and version control system.

Data Science Programs

Learn about data science programs at different institutions.

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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.

CUNY City Tech BS in Data Science

This program synthesizes applied mathematics, high-performance computing, and data management and analysis for a well-rounded data science education.

Global Columbia Collaboratory

This program enables students to learn about global challenges and collaborate on projects to address them, which can be data and technology-driven.

Queensborough Community College Data Science Lab for Undergraduate Research

This lab engages undergraduate students in data science-related training and research activities.


Use these datasets for research or to help students practice data analysis.

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Analyze Boston

Explore datasets on issues of finance, city services, public safety, the environment, and more from Boston's open data hub.

Consortium of Universities for the Advancement of Hydrologic Science, Inc.

Access thousands of hydrologic, biogeochemical, and geographic datasets from U.S. agencies, university projects, and community initiatives.


Discover and publish datasets on any topic you're interested in, collaborate with other data scientists, and find competitions to solve data science challenges.

NYC Open Data

Published by New York City agencies and other partners, NYC Open Data provides datasets on city government, environment, health, and more.
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UCI Machine Learning Repository

Explore the University of California, Irvine’s repository of over 550 datasets on diverse topics.

IEEE DataPort

Search the IEEE DataPort for open-source access to data sets related to security, health, demographics, and more.

Boot Camps

Use these resources to develop your own student boot camps or workshops.

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Foundations for Research Compliance

Foundations for Research Computing provides informal training for Columbia University students to learn core languages and libraries skills, software development tools, best practices, and computational problem-solving.

Check out the NSDC Learner Central and NSDC Career Central for more data science resources.

Join other data science educators on our Slack community!

For more information or inquiries contact the National Student Data Corps at .