Intro to Data Science: Women's Beginner Coding Workshop

Event has passed (Sat Sep 30, 2017 - Sat Sep 30, 2017)
University of San Francisco
09:30 AM
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NumFOCUS, with support from OSDC and in association with Hack the Patriarchy, presents: 
Intro to Data Science: Women's Beginner Coding Workshop
Saturday, September 30th9:30am — 5:30pm
Lo Schiavo Room 307University of San Francisco2130 Fulton StreetSan Francisco, CA 94117
"Data Scientist" has been named the top job in the U.S. for two years in a row (and boasts a six-figure salary!). Curious what it's all about? We're offering a free workshop for women interested in learning about data science!
This workshop for undergraduate women provides an introduction to data science at the absolute beginner level — no prior experience required! 
We welcome women of diverse backgrounds and especially encourage those who may never have considered computing or progamming as a possible career path.
In this full-day workshop, you will:

Learn the basics of organizing data in a way that computers can understand

Get started working with the "R" programming language

Receive friendly teaching support from women working & doing research in data science or related fields

Enjoy an interactive lunch panel featuring women in a variety of jobs whose work involves data science

Questions? Email [email protected]

How much does the workshop cost?
There is no charge for the workshop! OSDC has graciously provided funding to cover all costs.
Do I need a computer or laptop?
Nope! The workshop will take place in one of USF's computer labs, so everyone will have access to a computer. (Feel free to bring your own if you want, though.)
Who can attend?
This workshop is organized as part of NumFOCUS's Diversity & Inclusion in Scientific Computing (DISC) program. It is open to currently enrolled undergraduates who identify as women or non-binary. Since at present 95% of open source contributors are men, at this time we ask that only folks who self-identify as women or non-binary register to participate. We believe that a diverse community is stronger, more vibrant, and produces better software and better science.
Are meals provided?
Yes, light breakfast, lunch, and snacks are provided. Please specify any dietary restrictions when registering.
Is there a Code of Conduct?
Yes. This event operates under NumFOCUS's PyData Code of Conduct.

What is NumFOCUS?
NumFOCUS is a 501(c)(3) public charity in the U.S. Our mission is to promote better science through open code. You can learn more about us on our website:
What is Hack the Patriarchy?
Hack the Patriarchy is a hackathon (October 21 & 22) that has been created to welcome women of diverse backgrounds for a creative 24-hour meeting of the hearts, minds and skillsets. For more info, visit 
What is ODSC?
The Open Data Science Conference hosts one of the largest gatherings of professional data scientists with major conferences on in the USA, Europe, and Asia. Attendees gather to hear from some of the best and brightest present the latest languages, tools and models used in AI and data science. For more info, visit
I have another question.
That's okay! Please email [email protected]
Photo Consent
By registering for this event, you grant NumFOCUS permission to use your likeness in a photograph in any and all of its publications, including website entries, without payment or any other consideration. You understand and agree that these materials will become the property of NumFOCUS and will not be returned. You hereby irrevocably authorize NumFOCUS to edit, alter, copy, exhibit, publish or distribute this photo for purposes of publicizing programs or for any other lawful purpose. In addition, you waive the right to inspect or approve the finished product, including written or electronic copy, wherein your likeness appears. Additionally, you waive any right to royalties or other compensation arising or related to the use of the photograph. You hereby hold harmless and release and forever discharge NumFOCUS from all claims, demands, and causes of action which you, your heirs, representatives, executors, administrators, or any other persons acting on your behalf or on behalf of your estate have or may have by reason of this authorization.
Cover photo courtesy of 


  1. University of San Francisco 2130 Fulton Street, San Francisco, CA