Author: Glenn J. Myatt
Edition: 1
Publisher: Wiley-Interscience
Binding: Paperback
ISBN: 047007471X
Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
A practical, step-by-step approach to making sense out of data
Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. Medical books Making Sense of Data. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.
Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including:
* Problem definitions
* Data preparation
* Data visualization
* Data mining
* Statistics
* Grouping methods
* Predictive modeling
* Deployment issues and applications
Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems Medical books Making Sense of Data: SPC for the Service Sector. This new book specifically addresses the complicated issues of using statistical tools in a service setting - with the practical expertise you have come to expect from Dr. Donald J. Wheeler. It is a replacement for the earlier book, Building Continual Improvement.
Download link for Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
This new book specifically addresses the complicated issues of using statistical tools in a service setting - with the practical expertise you have come to expect from Dr. Donald J. Wheeler. It is a replacement for the earlier book, Building Continual Improvement.
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Making Sense of Data A Practical Guide to Exploratory Data Analysis and Data Mining, ISBN-13: 9780470074718, ISBN-10: 047007471X
Making Sense of Data: A Self-Instruction Manual on the Interpretation of Epidemiological Data Product Category : Books ISBN : 0195145259 Title : Making Sense of Data: A Self-Instruction Manual on the Interpretation of Epidemiological Data EAN : 9780195145
Medical Book Making Sense of Data
The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.
Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including:
* Problem definitions
* Data preparation
* Data visualization
* Data mining
* Statistics
* Grouping methods
* Predictive modeling
* Deployment issues and applications
Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project.
From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.
