BEGIN:VCALENDAR PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7776\nMaking the most of your investment in Big Data requires a good understanding of the new analytical tools and languages that are available. There's been an explosion of these tools, built to assist analysts and developers with issues such as concurrency, functional programming, and domain-specific problems. The R Project is perhaps the best known and provides a wide variety of statistical, data mining and visualization capabilities. Among the reasons it is popular at this early stage in the evolution of Big Data, is because it can be adopted by analysts at various levels of technical expertise, including those with very little programming experience.\nR is a cross-platform environment with comprehensive documentation. As such, it can be a little overwhelming on where and how to start using it. This talk will introduce you to the environment and help you along the path to solve Big Data analytical challenges. A light background in statistics would be advantageous for any attendees of this session, although rank novices will at least gain some insight into the issues, challenges and requirements for the analysis of Big Data.\nThe workshop will cover:\nR Overview\nGraphics and Visualization\nData Mining & Machine Learning\nArguments & Examples\nValues & Variables\n\nLanguage\nBasic Types: Numeric, Integer, Complex, Logical, Character, Factor\nComplex Types: Sequence, Vector, List, Matrix, Data Frame, Function\n\nRStudio, Graphics, Statistics & Other Languages\nRStudio Specifics\nTypes of Graphics \nMean/ Median, Frequency Distribution, Quantiles/Percentiles, Range/IQR, Deviations, Covariance/Correlation Coefficient\nPython and Others\n
\nBig Data & Linked Data\nGraphs & Queries\nConstraining the Predicate, Multiple Constraints, SPARQL Protocol\n\nSecurity\nConcerns & Solutions\n\nThis workshop has received outstanding reviews when presented previously. It will explain in detail how to get started with R and key features you can exploit to enhance your data analysis skills. DTSTART:20150820T083000 SUMMARY:AM4: Big Data Analysis with the R Language and Linked Data DTEND:20150820T114459 LOCATION: See Description END:VEVENT END:VCALENDAR