{"product_id":"data-analytics-with-r-a-hands-on-approach-paperback","title":"Data Analytics with R: A hands-on approach - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eViswa Viswanathan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eToday we all have access to a lot of data. Even more crucially, we also have easy access, through our personal computers and powerful free software packages, to the means to process the corpus of data and extract intelligence from it. Quite needlessly though, the necessary knowledge skills remain the exclusive preserve of a few, which this book sets out to change. \u003c\/p\u003e\u003cp\u003e Although most data analytics techniques have a mathematical basis, people with a grasp of high school mathematics can gain a deep intuitive understanding of the underlying techniques and apply them correctly and effectively. To make this possible, the book: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eFocuses on intuitive explanations with examples, while avoiding deep mathematics;\u003c\/li\u003e \u003cli\u003eProvides numerous examples, tables and figures (over 200 figures and 110 tables), to help readers grasp the concepts and techniques; \u003c\/li\u003e \u003cli\u003eIntroduces the R statistical programming environment and provides step-by-step guidance to learn R and apply it to the techniques covered; After working through the book readers will be able to independently apply the techniques covered on their own data. After completing the book, readers would have mastered an important subset of the R language.\u003c\/li\u003e \u003cli\u003eRecognizing that people master new topics only by doing, the book provides many instructive labs, -lab assignments and review questions with detailed guidance and explanations. Rather than just providing the steps in the form of \"what\" to do, the book also explains \"why?\"\u003c\/li\u003e \u003cli\u003eAll the data files needed to work through the labs and lab assignments are available as free downloads from the book's web site.\u003c\/li\u003e \u003cli\u003eTo shield those who are new to any form of computer programming, the book comes with many convenience functions that can serve to automate what might otherwise be confusing procedures.\u003c\/li\u003e \u003c\/ul\u003e The book covers the following topics: \u003cul\u003e \u003cli\u003e Quick introduction to R programming -- assumes no prior background in R;\u003c\/li\u003e \u003cli\u003eImportant data analytics concepts;\u003c\/li\u003e \u003cli\u003eExploratory data analysis and graphing with R;\u003c\/li\u003e \u003cli\u003eAffinity analysis;\u003c\/li\u003e \u003cli\u003eClassification techniques like K nearest neighbors, Naive Bayes and Classification trees;\u003c\/li\u003e \u003cli\u003eRegression techniques like simple and multiple linear regression; K nearest neighbors for regression and regression trees;\u003c\/li\u003e \u003cli\u003eTime series analysis; and\u003c\/li\u003e \u003cli\u003eData reduction techniques like Principal Component analysis (PCA) and cluster analysis (k-means clustering)\u003c\/li\u003e \u003c\/ul\u003e After completing the book, readers would have had a huge amount of hands-on experience, with a great intuitive understanding of the underlying theory.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eDr. Viswa Viswanathan teaches Computing and Decision Sciences at Seton Hall University in New Jersey, USA. In addition to his significant teaching experience at the Indian Institute of Management, Kolkata and at Seton Hall University, he has spent a decade in the software industry in the US and in India. He enjoys developing and deploying significant web-applications. Viswa has authored several peer-reviewed scholarly articles in leading journals like Operations Research, IEEE Software, International Journal of Artificial Intelligence in Education and Computers and Industrial Engineering. His work has touched many fields including information systems, artificial intelligence, Operations Research, software development and computer based learning. Viswa's keen interest in understanding how people learn and his evidence-based conviction that people learn best by doing has led him to explore new approaches to helping people to learn advanced concepts. Through his writing, he hopes to make seemingly advanced concepts accessible to many people.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 422\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.86 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 29, 2015\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47203764437241,"sku":"9781941773024","price":60.68,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/SVR0a2xFM0lpWFJPZ1dyRy9ueWFZUT09.webp?v=1768011444","url":"https:\/\/bookscloud.io\/products\/data-analytics-with-r-a-hands-on-approach-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}