Data Science 101
26

Thursday, 26 January

6:30 9:30 pm EST

GA Washington D.C. (12th Floor)

1133 15th Street NW, Floor 12
Washington , D.C. 20005
$65 USD
Regular Ticket
$65 USD
Total

Questions? Read our FAQs

Data Science 101

Alexandra Sanne Photo


Program Analyst, Hilton Worldwide

26

Thursday, 26 January

6:30 9:30 pm EST

GA Washington D.C. (12th Floor)

1133 15th Street NW, Floor 12
Washington , D.C. 20005
$65 USD
Regular Ticket
$65 USD
Total

Questions? Read our FAQs

About This Class

See how the predictive power of data drives modern business.

Step into the world of data science with General Assembly. During our introductory workshop, explore the job Harvard Business Review has dubbed “the sexiest of the 21st century,” and see how modern businesses are harnessing the power of data to drive innovation. Working with real-world case studies, you’ll:

  • Learn what data scientists do and the types of problems they solve.
  • Walk through the typical data science workflow and see how the pros identify powerful business predictions.
  • Explore key tools and processes data scientists use to analyze, visualize, and model data.
  • Apply what you’ve learned to a data set to produce your own recommendations.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our 10-week, part-time Data Science course or become job-ready with our 12-week, full-time Data Science Immersive program.

Takeaways

Explain the field of data science, defining common roles, benefits, and trends. Explore some popular tools and resources to visualize, analyze, and model data. Recognize the different types of problems that can be solved by data scientists. Apply the data science workflow to provide real world recommendations.

Prereqs & Preparation

Bring a laptop with Anaconda for Python 3.5, a open data science platform we will be using in class > https://www.continuum.io/downloads

Technical Considerations: -For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).
-Upgrade your operating system before class, if needed.

About the Instructor

Alexandra Sanne Photo

Program Analyst,
Hilton Worldwide

Ali works in analytics for Hilton Worldwide's Brand Strategy and Program Management group. She holds a Masters in Systems Engineering from GW and has worked with data science education programs for three years, during which time she’s become heavily involved in the data community in DC. You can find her at GA’s DC campus working on analytics projects, tweeting about #DataViz, or in Navy Yard cheering on the Nats.

Refund Policy

Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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