Workshops and Events

Event zoom links here: Box File Link

Friday, January 8th

Saturday, January 9th

  • 12:00-1:00 PM EST: How to identify user needs/design thinking with James Intriligator
  • 3:00-4:00 PM EST: Intro to time series analysis with Ryan Simpson
  • 4:30-5:30: Office Hours with Dr. Economos

Sunday, January 10th

  • 3:00-4:00 PM EST: Data Visualization in R with Kees Schipper

Monday, January 11th

  • 1:00-2:30 PM EST Intro to Python
  • 3:00-4:00 PM EST Overview of Current Dashboard Landscape and Q&A with Suzannah Gerber
  • 4:00-6:00 PM EST Introduction to R-Shiny with Karin Knudson
  • 4:30 – 5:15 PM EST Open Office Hours to Discuss Content with Larissa Calancie

Tuesday, January 12th

  • 10:30-11:15 AM EST Office Hours for Stakeholder related questions with Julie Appel
  • 12:00 – 1:00 PM EST Office Hours for Data Visualization and Python, R (Coding help)
  • 1:00-2:00 PM EST: Using Data Visualizations in your Careers with Leslie Galluzzo
  • 2:00-3:00 PM EST: Office Hours for Data Visualization and R, Python, MATLAB, and JavaScript/D3 with Karin Knudson
  • 3:00-4:30 PM EST Data Visualization in Python
  • 4:00-4:30 PM EST Office Hours with Lisa Robinson Director of Shape Up Somerville
  • 4:30-5:15 PM EST Open-Source mini-talk with Juhan Sonin
  • 6:30-7:30 PM EST Tableau Intro Session (for non-programmers)

Wednesday, January 13th

  • 10:30-11:00 AM EST Office Hours with Community Stakeholders
  • 12:00-12:45 PM EST Office Hours with Community Stakeholders
  • 1:00 – 3:00 Office Hours for Python, R, and Data Visualization
  • 2:00 – 3:00 Office Hours – How to Submit your Work – Q&A and Troubleshooting

Thursday, January 14th

  • 11:00 AM -12:00 PM EST Office Hours for Python, R, and Data Visualization
  • 1:00 PM EST – Submissions due

Friday, January 15th

  • 1:00pm EST – Award ceremony and presentations

Times and Dates to be updated soon. Most workshops and lectures will be recorded and available from the resources tab of the website.

In addition to these events, check out the many courses, articles, and videos on the resources tab.