Natasha Balac




Natasha Balac received her Ph.D. in Computer Science from Vanderbilt University. She has developed a novel planning and learning system for a mobile robot, using action models produced by the novel data mining technique she introduced: multi-variate regression tree induction method. Natasha works at UCSD's San Diego Supercomputer Center.

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E.g., 2016-10-21
E.g., 2016-10-21
E.g., 2016-10-21
Oct 17th 2016

This course is for novice programmers or business people who'd like to understand the core tools used to wrangle and analyze big data. With no prior experience, you'll have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques, such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis processes.

Average: 6.5 (8 votes)
Sep 12th 2016

Want to learn the basics of large-scale data processing? Need to make predictive models but don’t know the right tools? This course will introduce you to open source tools you can use for parallel, distributed and scalable machine learning.

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