Berkeley's core data science classes all offer its students free access to an interactive online textbook. The books are created using a service from Project Jupyter in collaboration with the Berkeley Data Science Education Program (DSEP) known as a Jupyter Book. The most updated textbooks for these core classes are listed below.
The contents of all of these books are licensed for free consumption under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Data 8 Textbook: Inferential Thinking
Authors: Ani Adhikari and John Denero
Contributions: David Wagner and Henry Milner
This is the textbook for the Foundations of Data Science class at UC Berkeley(link is external)
Data 100 Textbook: Principles and Techniques of Data Science(link is external)
Authors: Sam Wu, Joseph Gonzalez, and Deb Nolan
Data 100 is the upper-division, semester-long data science course that follows Data 8, the Foundations of Data Science(link is external). The reader’s assumed background is detailed in the About This Book(link is external) page.
Prob 140 Textbook: Probability for Data Science(link is external)
Authors: Ani Adhikari and Jim Pitman
This is the textbook for the Probability for Data Science(link is external) class at UC Berkeley.
Jupyter Book Guide
Main navigation
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Data Science Undergraduate Studies
- Advising
- Courses
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Data Science Major
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Declaring The Major
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Information for Prospective Transfer Students
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Requirements: Lower Division
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Requirements: Upper Division
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Requirements: Domain Emphases
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Applied Mathematics and Modeling
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Business and Industrial Analytics
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Cognition
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Computational Biology Methods
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Computational Methods in Molecular and Genomic Biology
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Data Arts and Humanities
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Ecology and Environment
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Economics
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Environment, Resource Management, and Society
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Evolution and Biodiversity
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Geospatial Information and Technology
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Human Behavior and Psychology
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Human Biology
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Human and Population Health
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Inequalities in Society
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Linguistic Sciences
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Molecular Biology and Genomics
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Neurosciences
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Organizations and the Economy
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Philosophical Foundations: Evidence and Inference
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Philosophical Foundations: Minds, Morals, and Machines
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Physical Science Analytics
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Quantitative Social Science
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Robotics
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Science, Technology, and Society
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Social Policy and Law
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Social Welfare, Health, and Poverty
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Sustainable Development and Engineering
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Urban Science
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Applied Mathematics and Modeling
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Study Abroad for Data Science Majors
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Data Science Honors Program
- Data Science Degree Programs Governance Committee
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Declaring The Major
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Related Majors
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Data Science Minor
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Data Science Chromebooks Program
- Graduate and Professional Programs
- Human Contexts and Ethics
- Data Science Resources at Berkeley
- Data Science Career Services
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Related Majors
- External Resources