Students laugh as they collaborate around a small table, laptops open
Photo / Noah Berger / College of Computing, Data Science, and Society

 

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

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Professor Ani Adhikari lectures to audience of students in Data 8

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.

Learn more about adopting Data 8

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A professor lectures from a stage to a large sea of students in Data 100

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.

Learn more about adoption Data 100

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.