Zero to Data 6: Adoption Guide

Data 6: Introduction to Computational Thinking with Data Science and Society is an introductory, interdisciplinary course taught at UC Berkeley. This guide helps you adopt and deploy Data 6 at your institution.

What is Data 6?¶

Data 6 focuses on the principles of computational thinking for exploratory data analysis and computational social science. This course combines principles and skills from statistics, computer science, and social science, providing students with a practical introduction to computational thinking and data analysis.

Teaching Data Science requires a shift in the way we traditionally teach each of the individual concepts. What were once introductory classes in statistics, computer science, and social science are now combined into a single introductory course.

Why Adopt Data 6?¶

Quick Start¶

Who Is This For?¶

This guide is designed for:

• Instructors teaching introductory data science courses

• Course coordinators looking to adopt proven curricula

• Institutions (especially community colleges) seeking NSF-funded course materials

• Educators interested in computational social science approaches

Before You Start¶

What You’ll Get¶

Course Materials¶

Technology Guide¶

If you are looking for a more technical overview of the infrastructure required to create a data science course at your institution, there is a guide titled “The Data Science Educator’s Guide to Technical Infrastructure”.

Contacting Us¶

If you would like to learn more about any of the tools used in Data 6 or are interested in deploying your own Data 6 course, please fill out our Data 6 Instructor Interest Form or email us at data6@berkeley.edu.

Acknowledgments¶