Data Science Pedagogy for Graduate Students

June 7, 2019, 9:00am to 4:30pm

In this one-day workshop, graduate students will learn about the pedagogy of UC Berkeley's Data Science Education Program, an exciting area of curricular innovation. This workshop will cover some of the computational and statistical concepts that students learn in the Foundations of Data Science class (Data 8) and Principles and Techniques of Data Science (Data 100), as well as an overview of the connector courses and modules. It will also give experience using a cloud-based computing environment. Graduate students can use these skills to improve teaching, to imagine new types of teaching, and learn what resources are available.  No previous programming or statistics experience needed.

Workshop Topics

  • Overview of Data 8: inferential thinking, computational thinking, and data centered computing environment
  • Introduction to Data 100: Principles and Techniques of Data Science
  • Learn to create and teach assignments within the Jupyter notebook system
  • Sample lectures & labs from applied courses (Humanities, Social Sciences, Natural Sciences, Engineering)
  • Understand the infrastructure behind the pedagogy platform
  • Incorporate scientific reproducibility practices
  • Learn about the work and student teams in the Data Science Education program

More information:

Workshop registration:

Contact: Eric Van Dusen


Registration is not required.