Keynote Presentation |
Concurrent Sessions |
Poster Sessions
Short Courses (full day) | Short Courses (half day) | Tutorials | Practical Computing Demos | Closing General Session with Refreshments
Short Courses (full day) | Short Courses (half day) | Tutorials | Practical Computing Demos | Closing General Session with Refreshments
| Thursday, February 15 | ||
| SC1 Introduction to Big Data Analysis |
Thu, Feb 15, 8:00 AM - 5:30 PM
Salon A |
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| Instructor(s): Fulya Gokalp Yavuz, Yildiz Technical University; Mark Daniel Ward, Purdue University | ||
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This one-day introductory workshop is geared toward CSP participants who want to revitalize or improve their data analysis skills, especially with an emphasis on big data. Ward and Gokalp Yavuz will present tools and techniques for these most fundamental, low-level aspects of data analysis. We are well-versed at teaching such techniques to students who have no background in data analysis or programming. This workshop will bring people up to speed with powerful techniques for data analysis. This one-day course has no prerequisites. This workshop will be hands-on and driven by examples, using large data sets. The intended participants for the course are people who work in a data-driven environment and have an increasing need to perform aspects of large data analysis. Before data is gathered and organized, a great deal of data manipulation is necessary, especially for working with big data sets. Sometimes the data need to be scraped from remote sources, and then parsed into more natural forms. This process often involves munging and cleaning the data. The need to be able to reproduce and reliably verify all of the methods used for the data wrangling is more important than ever.
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