Intro to Data Science: Women's Beginner Coding Workshop

NumFOCUS/PyData

NumFOCUS, with support from ODSC and in association with Hack the Patriarchy, presents: 
<H2>Intro to Data Science: Women's Beginner Coding Workshop </H2>
<H3>Saturday, September 30th 9:30am — 5:30pm </H3>
HR 148 (room #) Harney Science Center University of San Francisco 2130 Fulton Street San Francisco, CA 94117
(<A HREF="https://www.myatlascms.com/map/?id=924&mrkIid=160034#!m/160034" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Directions</A> to the venue)
"Data Scientist" has been named the <A HREF="https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwit5JWqpe7VAhUC8RQKHQIZDhgQFggzMAA&url=https%3A%2F%2Fwww.cbsnews.com%2Fmedia%2Fthe-best-11-jobs-in-america-for-2017%2F12%2F&usg=AFQjCNHFlzGPgn6QCGPYYBMQRK4RsVbExg" TARGET="_blank" TITLE="The best 11 jobs in America for 2017" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">top job in the U.S.</A> 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:
<UL>
<LI>
Learn the basics of organizing data in a way that computers can understand
</LI>
<LI>
Get started working with the "R" programming language
</LI>
<LI>
Receive friendly teaching support from women working & doing research in data science or related fields
</LI>
<LI>
Enjoy an interactive lunch panel featuring women in a variety of jobs whose work involves data science
</LI>
</UL>
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LUNCH PANEL featuring women working in data science
Moderated by: Julie Krugler Hollek, Data Scientist at Twitter (<A HREF="https://www.linkedin.com/in/juliehollek/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">LinkedIn</A>)
 
Panelists:
Michelle Yasmeen Haq (<A HREF="https://www.linkedin.com/in/michellehaq/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">LinkedIn</A>) Senior Product Manager, Twitter
Michelle Haq is a Senior Product Manager working on the Safety team at Twitter. Prior to Twitter, she worked at Google and Pinger.
 
Jane Huston (<A HREF="https://www.linkedin.com/in/janehustonmph/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">LinkedIn</A>) Product Analyst, Pinterest
Jane is a member of the Product Analytics team at Pinterest, focusing on Partner Ad Products. She previously worked in product analytics at Athenahealth, a health software company. She landed in a career in data science and analytics after completing a Master’s in Public Health and working in infectious disease detection at Boston Children’s Hospital for several years.
 
Tamara Louie (<A HREF="https://www.linkedin.com/in/tklouie/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">LinkedIn</A>) Data Scientist, Pinterest
Tamara Louie is a data scientist at Pinterest where she works with the Discovery and Content engineering teams to apply data science techniques to better understand their machine learning systems. Previously, she worked as a Data Scientist at Twitter, creating time-series forecasting models and performing revenue product analytics for Twitter’s ads products. She finished her Master’s degree in Biostatistics in 2015 at Harvard, focusing on applying machine learning models to predict flu outbreaks in the U.S.
 
Gabriela de Queiroz (<A HREF="https://www.linkedin.com/in/gabrieladequeiroz/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">LinkedIn</A>) Lead Data Scientist, SelfScore
<A HREF="http://k-roz.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Gabriela de Queiroz </A>is the Lead Data Scientist at SelfScore where she builds & supports data APIs, scheduled enterprise reporting & Shiny web dashboards. She is the founder of R-Ladies, an organization created to promote diversity in the R community, which now has over 45 chapters worldwide. Currently, she is developing an online course on machine learning in partnership with DataCamp.
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Questions? Email gina@numfocus.org.
 
<H2>FAQ</H2>
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 <A HREF="https://pydata.org/code-of-conduct.html" TARGET="_blank" TITLE="Code of Conduct" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Code of Conduct</A>.
 
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: <A HREF="http://www.numfocus.org" TARGET="_blank" TITLE="NumFOCUS" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.numfocus.org</A>
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 <A HREF="http://www.hackthepatriarchy.com" TARGET="_blank" TITLE="Hack the Patriarchy" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.hackthepatriarchy.com</A> 
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 <A HREF="https://www.odsc.com/" TARGET="_blank" TITLE="ODSC" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.odsc.com</A>.
I have another question. 
That's okay! Please email gina@numfocus.org.
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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 wocintechchat.com

University of San Francisco

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Intro to Data Science: Women's Beginner Coding Workshop

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Intro to Data Science: Women's Beginner Coding Workshop

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