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Data Analysis Made Easy

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Description:This book teaches readers without specific knowledge of statistics or programming how to understand and use data analytics. The authors focus on explanation of intuition beyond the basic data analytics techniques. To do this, they employ easy to use tools to present and illustrate the examples. This book contains four parts. The first part motivates people for the necessity of analyzing data. The next part involves visualizing data and finding natural groups from data. Predicting the unknown is the subject of the next part, in which the authors discuss classification, regression, and advanced predictive methods. The last part discusses mining the web, and covers topics such as information retrieval, social network analysis, working with text, and recommender systems feedback. At the end of parts 2, 3, and 4 there is a project following the CRISP methodology that shows how to develop a project in the area of that part. The proposal is that the readers can develop their own project with their own dataset or with a dataset from a public repository. This book will be of interest to non-mathematicians, non-statisticians, and non-computer scientists interested in getting an introduction to data science.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Analysis Made Easy. To get started finding Data Analysis Made Easy, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 300

Format: PDF, EPUB & Kindle Edition

Publisher: Wiley

Release: 2017

ISBN: 1119296307

Description: This book teaches readers without specific knowledge of statistics or programming how to understand and use data analytics. The authors focus on explanation of intuition beyond the basic data analytics techniques. To do this, they employ easy to use tools to present and illustrate the examples. This book contains four parts. The first part motivates people for the necessity of analyzing data. The next part involves visualizing data and finding natural groups from data. Predicting the unknown is the subject of the next part, in which the authors discuss classification, regression, and advanced predictive methods. The last part discusses mining the web, and covers topics such as information retrieval, social network analysis, working with text, and recommender systems feedback. At the end of parts 2, 3, and 4 there is a project following the CRISP methodology that shows how to develop a project in the area of that part. The proposal is that the readers can develop their own project with their own dataset or with a dataset from a public repository. This book will be of interest to non-mathematicians, non-statisticians, and non-computer scientists interested in getting an introduction to data science.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Analysis Made Easy. To get started finding Data Analysis Made Easy, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Data Analysis Made Easy

Data Analysis Made Easy

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