Online Format for Summer 2021

  • One day Bootcamp on teaching a Data 8 style fundamentals class 
  • Office hours from the Berkeley professors and student staff and Labs for Data 8, Data 100, and Data Science Modules 
  • Panels and discussions on a variety of topics Wednesday to Friday

This workshop  is organized by UC Berkeley's Division of Computing, Data Science, and Society with support from Microsoft and the West Big Data Innovation Hub

Resources 

Please take a look at our external-facing resources portal website with key links for instructors.

We also have a one-page handout summary guide to open-source resources.  This short document will explain the curriculum and set of technologies developed at Berkeley.  

Questions

Please feel free to contact us at ds-help@berkeley.edu) with any questions or concerns on implementing a Data Science program at your institution. We would also like to invite you to join our slack channel at datascienceeducation.slack.com 

Code of Conduct

We value the participation of each member of the community and want all attendees to have an enjoyable and fulfilling experience. Accordingly, all attendees are expected to show respect and courtesy to other attendees throughout the workshop and at all workshop events.  Code of Conduct

Schedule (Schedule in Formation - all times are PDT) 

Monday, June 14: Bootcamp for Instructors

9:00 AM

Data 8 Overview - John DeNero(link is external).  - Video Recording(link is external)

10:00 AM

Sample Interactive Online Lab - Ian Castro and Anna Nguyen

11:00 AM

 A panel of Instructors teaching Fundamentals Classes at other institutions - Video Recording
1:00 PM  Berkeley Data Stack - Infrastructure Overview - Chris Pyles, Yuvi Panda - Video Recording
2:00 PM Advanced Lab (Data 8) - Yanay Rosen
3:00 PM Alternative Cloud Technology Options - Amal Bhatnagar and Justin Cheung - Video Recording

Tuesday, June 15: Open Office Hours AMA and Labs with UC Berkeley Course Staff (10 AM-5 PM PDT)

8:00 AM 

Human Contexts and Ethics Workshop - {separate platform} - Margarita Boenig-Liptsin

[Note - this is a separate platform - please sign up via Form to get Zoom Link]

10:00 AM

Berkeley Data Science Program Overview - Michael Jordan - Video Recording

11:00 AM

Data 6 - A new introductory course - Suraj Rampure - Video Recording

1:00 PM

Data 100 - Principles of Data Science - Fernando Perez and Joey Gonzalez)  - Video Recording

2:00 PM

Data Communication. - Video Recording

  • Deb Nolan, UC Berkeley
  • Sara Stoudt, Smith College
  • Amelia McNamara, St Thomas
  • Jeff Leek, Johns Hopkins
  • Trity Pourbahrami

3:00 PM

Modules and Connectors - Eric Van Dusen and Alleana Clark

VIdeo Recording

Wednesday, June 16: Live Virtual Panels (9 AM-5 PM PDT) 

9:00 AM 

Human Contexts and Ethics Panel - Hear about new curriculum to introduce Data Science students to engage in social justice contexts.  Video Recording

  • Margarita Boenig-Liptsin, UC Berkeley
  • Jerry Volcy, Spelman College
  • Anna Lauren Hoffmann, University of Washington

11:00 AM

California Alliance Panel - Overview of efforts at UC, CSU, and Community College levels including efforts to harmonize and articulate across institutions - Video Recording

1:30 PM

Data 8 Adopters - Hear from adopters of Data 8 Curriculum at a range of institutions and contexts VIdeo Recording

3:30 PM

Lightning Talks [Presentations] & Expo Booths

  1. Salomey Addo, Leuphana University of Lüneburg
  2. Valentin Danchev, University of Essex
  3. Matt Dube, University of Maine at Augusta
  4. Sam Donovan, University of Pittsburgh
  5. Patrick Washington, Morehouse College
  6. Andrew Ross, Eastern Michigan University
  7. Julien Langou, University of Colorado at Denver
  8. Timothy Warren, Oregon State University

Thursday, June 17: Live Virtual Panels (9 AM-5 PM PDT) 

9:00 AM 

High School Data Science - Evolution of high school curriculum to include Data Science - Video Recording

11:00 AM

National Efforts - Several networks and national efforts seek to coordinate and create synergies across institutions  - Video Recording

1:30 PM

Technology for Teaching - Several technology options and innovations within Data Science education - Video Recording

3:30 PM

Lightning Talks [Presentations] & Expo Booths

  1. Rachel Saidi, Montgomery College
  2. Aeron Zentner, Coastline College
  3. Tural Sadigov, Hamilton College
  4. Andre de Waal, IBM
  5. Mark Sawula, Peddie School
  6. Federica Bianco, University of Delaware
  7. Boyan Kostadinov, New York City College of Technology, CUNY
  8. Rick Cleary, Babson College
  9. Grace Li and Kyle Kishimoto, UC Berkeley
  10. Claudia Roda, American University of Paris

Friday, June 18: Live Virtual Panels (9 AM-3 PM PDT) 

9:00 AM 

Increasing Inclusion in Data Science - Efforts to increase the diversity of who is engaging in studying Data Science, with examples from Mills College, and UMBC - Video Recording(link is external)

11:00 AM

Math for Data Science - A discussion of how Math courses can align with Data Science  - Video Recording

1:30 PM

Data Science Capstone Projects - Overview of efforts to give students project-based experience within Data Science  - Video Recording

Staff Organizers

Eric Van Dusen 

Anthony Suen 

Student Team

Justin Cheung

Kseniya Usovich

Alan Liang

Registration Page for the National Workshop on Data Science Education

Click Here to Sign Up

Introduction to the National Workshop on Data Science Education

Previous Workshops

2020 national workshop data science education

pedagogy 2019

2018 Workshop

undergraduate-ds-pedagogy