The State of Data Science Education


Details
Continuum Analytics develops Anaconda, the leading modern open source analytics platform powered by Python. Continuum’s Python based platform and consulting services empower organizations to analyze, manage and visualize big data turning massive datasets into actionable insights and business value. Built on proven opensource technology and easily integrated within existing IT environments, Anaconda allows organizations to make critical business decisions based on their data quickly, easily, inexpensively, and with flexibility. Without having to worry about how to access their data, organizations can free up resources to solve actual problems. Continuum’s founders and developers have created or contribute to some of the most popular data science technologies, including NumPy, SciPy, Pandas, IPython, and many others. To learn more about the Anaconda platform, training and consulting services, visit
continuum.io (http://www.continuum.io/)
.
You must RSVP through Event Brite at the link below to sign up for this event. Please do NOT RSVP if you are not going to attend.
About the Event
Data science is a rapidly evolving field. On the supply-side, educators and vocational training organizations are developing programs to meet burgeoning demand, but with very different ideas of what skills data scientists need. On the demand-side, employers are still learning about how to hire, retain and manage data scientists. This conference brings together educators, employers, as well as professional and aspiring data scientists to talk about the present and future of data science education.
Conference Logistics
Date: Saturday, October 10th, 2015
Time: 11am - 2pm
Location: George Washington University Funger Hall Room 108
Tickets:
https://www.eventbrite.com/e/the-state-of-data-science-education-tickets-18179460255
Panels & Speakers
Panel - Data Science Educators
Academics, vocational programs, incubators and specialized recruiting firms will talk about the state of data science education and where it is going.
• Bill Rand (http://www.rhsmith.umd.edu/directory/william-rand) - Assistant Professor & Director, Center for Complexity in Business (http://www.rhsmith.umd.edu/centers-excellence/complexity-business) at the Robert H. Smith School of Business, University of Maryland
• Jake Klamka (https://www.linkedin.com/in/jakeklamka) - CEO and founder of Insight Data Science (http://insightdatascience.com/)
• Edwin Schmierer (https://www.linkedin.com/in/edwinschmierer) - Associate Dean of the Center for Continuing & Professional Education at Georgetown University - Data Science Certificate Program (http://scs.georgetown.edu/programs/375/data-analytics/)
• Tony Ojeda (https://www.linkedin.com/in/tonyojeda) - CEO and founder of Data District Labs (http://www.districtdatalabs.com/)
• Tatiyana Apanasovich (http://home.gwu.edu/~apanasovich/) - Co-Director of the GW Data Science Program (https://datasci.columbian.gwu.edu/) and an Associate Professor in the Department of Statistics
Moderator:
Sean Patrick Murphy (https://www.linkedin.com/in/seanpatrickmurphy1), co-founder, Data Innovation DC (https://www.meetup.com/data-business-dc/)
Panel - Date Science Employers
Employers from government, large established companies and start-ups will discuss the challenges in identifying and using data science talent.
• Gideon Mann (https://sites.google.com/site/gideonmann/) - Head of Data Science at Bloomberg
• Marck Vaisman (https://www.linkedin.com/in/marckvaisman) - Lead Associate, Data Scientist at Booz Allen Hamilton
• Brian Muller (https://www.linkedin.com/in/bamuller) - Director of Data Science at Vox Media
• Amanda Traud (https://www.linkedin.com/pub/amanda-traud/14/579/442) - Data Scientist at L-3 Global Solutions (http://www.l-3nss.com/index.php?option=com_content&view=article&id=43&Itemid=203)
Moderator:
Peter Wang (https://www.linkedin.com/in/pzwang), President and Co-founder of Continuum Analytics (http://continuum.io/)
Keynote Speaker
DJ Patil (https://en.wikipedia.org/wiki/DJ_Patil), Chief Data Scientist of the United States Office of Science and Technology Policy
Audience
We expect a broad-based audience of data scientists, educators and employers. This event will be of interest to aspiring and professional data scientists who want to learn about the data science landscape from the perspective of both educators and employers.
Data science educators will hear from a variety of educators on the challenges and future of data science education, as well as from industry about the skills they are looking for in recent graduates.
Data science employers will hear from leading organizations about the challenges and best practices in hiring, as well as from educational institutions about how they are rising to meet the needs of industry.
Speaker & Sponsor Opportunities
The State of Data Science Education event will be the first event bringing together educators and employers to talk about the present and future of data science education. Given the ever-increasing need for data scientists, this will be an exciting opportunity to be part of the conversation and get exposure for your insights. Please contact us at DIDC@datacommunitydc.org if you’re interesting in participating as a panelist, speaker or sponsor.
SPONSORS
http://photos2.meetupstatic.com/photos/event/9/1/2/e/600_441997166.jpeg
Continuum Analytics develops Anaconda, the leading modern open source analytics platform powered by Python. Continuum’s Python based platform and consulting services empower organizations to analyze, manage and visualize big data turning massive datasets into actionable insights and business value. Built on proven opensource technology and easily integrated within existing IT environments, Anaconda allows organizations to make critical business decisions based on their data quickly, easily, inexpensively, and with flexibility. Without having to worry about how to access their data, organizations can free up resources to solve actual problems. Continuum’s founders and developers have created or contribute to some of the most popular data science technologies, including NumPy, SciPy, Pandas, IPython, and many others. To learn more about the Anaconda platform, training and consulting services, visit continuum.io (http://www.continuum.io/).

The State of Data Science Education