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R Programming LiveLessons 2nd Edition This is a tour through R, the statistical programming language. It covers everything from the basics to the more complex modeling. It covers programming basics, reading data, visualization, data munging and clustering, modern machine-learning, network analysis, web graphics and techniques for dealing large amounts of data in memory and databases. This video is 15 hours long and teaches you how you can program in R, even if statistical techniques are not your first language. It begins with the basics of R and moves on to data manipulation and model-building. Through hands-on practice, users learn the code and techniques. Chaining commands, faster data manipulations, new ways of reading rectangular data into R, testing code and Shiny are some of the new material. Based on a Columbia course on R and Big Data that was taught by the author <ul> <li> This video was designed from the ground up to help viewers quickly get over R's learning curve </li> <li> It is packed with practical, downloadable examples of code and practice opportunities </li> <li> This presentation is by an author who has unsurpassed experience teaching modeling and statistical programming to novices </li> <li> For all potential R users: programmers, data scientist, DBAs and marketers. Quants, scientists, policymakers and many other. </li> </ul>

R Programming

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