Bring Data Science Education to Your School
Unlock new opportunities for students at your institution with the transformative potential of data science education.
Data science education is expanding rapidly as students and employers increasingly recognize its value in a data-driven world. We assist institutions in several ways, including offering foundational courses, integrating human context and ethics into curricula, and developing majors and certificates.
Adopt Specific Courses
Data 8: Foundations of Data Science
Our introduction to the foundations of data science, this course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets. It delves into social issues surrounding data analysis such as privacy and design.
Data 100: Principles and Techniques of Data Science
This intermediate course serves as a bridge between lower and upper division computer science and statistics courses, as well as methods courses in other disciplines. It covers essential areas of data science, including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision-making.
Additional resources
Infrastructure
Learn about two major infrastructural accessories - JupyterHub and Otter Grader - essential for teaching data science courses at scale.
Human Contexts and Ethics
Learn more about how we ensure our students learn to wield data ethically through our Human Contexts and Ethics materials.
Data Science Modules
Explore our model of adding data science instruction into non-data science classes, from the sciences to the humanities.