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New York Data Science presents Open Source Tools for Big Data Analysis

February 27 @ 6:30 pm - 8:30 pm


Open source tools are the lifeblood of big data. You can’t have one without the other (and, really, why would you want to?). Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need.

Join the analysis team at Dataiku, for an insightful discussion on techniques for working with data in a business environment. We’ll discuss how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.

Above all, you’ll learn how to think about the results you want to achieve — rather than rely on tools to think for you.


  • Learn the fundamental terminology and processes in data science
  • Discover the technology landscape that has helped fuel the data explosion
  • Unlock the hidden value in the vast amounts of data

Who should attend

  • New graduates wanting to work as data scientists
  • Professionals in any role, across any sector (marketing, healthcare, finance)
  • Anyone currently working with data
  • Anyone who recognizes that data skills are in high demand
  • People wishing to learn how to maximize their use of data


A basic understanding of programming/computing and statistics is recommended.

About our Sponsors

Galvanize is an education company that blends the lines between learning and working. We believe in creating easy access for anyone who has the drive and determination to jump into the tech world, especially in entrepreneurship, engineering, and data science. Our campuses are home to students, startups, investors, mentors, and other people who are engaged and excited to level up their skills. To learn more about Galvanize, visit galvanize.com.

Dataiku develops the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Thanks to a collaborative and team-based user interface for data scientists and beginner analysts, to a unified framework for both development and deployment of data projects, and to immediate access to all the features and tools required to design data products from scratch, customers such as AXA, L’Oreal, Bechtel, Webbmason, Urban Insights, and many more easily apply machine learning and data science techniques to all types, sizes, and formats of raw data to build and deploy predictive data flows.



February 27
6:30 pm - 8:30 pm


Galvanize NYC Pop Up
315 Hudson St2nd Floor
New York, NY 10013 United States


Galvanize NYC