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.
Who should attend
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.