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Data mining and business analytics with R
Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.
Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:
* A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools
* Illustrations of how to use the outlined concepts in real-world situations
* Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials
* Numerous exercises to help readers with computing skills and deepen their understanding of the material
Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.
eBook
Statistics for business and economics
Clarity and cutting-edge examples have made 'Statistics for Business and Economics' the definitive textbook for students across the United Kingdom, Europe, Middle East, and Africa. This new edition builds on the text's well-respected foundations to deliver a clear, up-to-date and comprehensive revision. All the key concepts, combined with the latest technologies and applications, are introduced with hallmark precision, making this your complete introduction to business statistics.
Book
Numerate Leader
Learn how to make informed decisions through statistical reasoning! Using a qualitative approach to introduce statistical reasoning, The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data is a cutting-edge book that helps the reader extract information from unfamiliar data sets. Combining introductory statistics with a few ideas from the philosophy of science, this work helps generalists find patterns that may be expected to recur in the future. Identifying one or two such relationships can be a game-changer for the reader and their employer or client. Thomas A. King's revelatory writing is easy to understand and conversational in tone. King makes the complex, tedious topics that you studied in the classroom but likely didn't yet understand easily comprehensible. Historical examples and humorous anecdotes illuminate technical concepts so that readers may pull insights from data sets and then explain conclusions reached through effective storytelling. What's more, the book is fun to read. A natural teacher, King emphasizes that complex software is unnecessary for success in this field. Readers, however, will find: Real-life examples that help put statistical concepts into an understandable context A glossary of important statistical terms and their use An appendix detailing ten math facts numerate people should know Perfect for undergraduate and graduate students entering advanced data analytics courses, as well as data analysts and c-suite executives just starting out, The Numerate Leader is key in helping develop the skills to identify provisional relationships between disparate data sets and then assess the significance of conclusions reached.
eBook
Practical statistics : a handbook for business projects
\" Statistics is concerned with extracting the best possible information from data in order to aid decision making, and it is often applied to sales forecasting, quality control and marketing research. The role of the statistician is to determine what type of data is needed to answer a specific question, the way that data should be collected and how it should be analyzed in order to get the best answer.Practical Statistics is a clear and concise introduction to business statistics for graduate business and management students, MBA students and professionals. It gives the reader a solid understanding of statistics without being too simple or mind-numbingly complex. It turns business statistics, often perceived as being difficult and pointless, into something approachable and sensible.Statistics professor John Buglear emphasizes the importance of working back from results rather than working out results. He starts the book with basic concepts which get increasingly harder, uses simple metaphors to aid understanding and tables and diagrams throughout\"-- Provided by publisher.
Book
Analytics boot camp
This book was written for those who want basic understanding of how to use analytics in the business world without all the details of statistical theory. The focus is on providing clear word descriptions and step-by-step Excel instructions, rather than including lots of x's and y's everywhere. We have specifically avoided including a lot of technical information. This book was written for the managers and students who may need a quick refresher on how to complete Excel analysis without having to read pages of technical explanations. We have aimed at concisely defining the key concepts and providing simple descriptions and explanations on how to use them.
eBook
Statistik fur Wirtschaft und Technik
The textbook is distinguished by its practical orientation. The exercises at the end of each chapter are not theoretical examples, but instead relate to the kinds of concrete issues that arise in practice at a fictional firm.
eBook
The numerate leader
Learn how to make informed decisions through statistical reasoning! Using a qualitative approach to introduce statistical reasoning, The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data is a cutting-edge book that helps the reader extract information from unfamiliar data sets. Combining introductory statistics with a few ideas from the philosophy of science, this work helps generalists find patterns that may be expected to recur in the future. Identifying one or two such relationships can be a game-changer for the reader and their employer or client. Thomas A. King's revelatory writing is easy to understand and conversational in tone. King makes the complex, tedious topics that you studied in the classroom-but likely didn't yet understand-easily comprehensible. Historical examples and humorous anecdotes illuminate technical concepts so that readers may pull insights from data sets and then explain conclusions reached through effective storytelling. What's more, the book is fun to read. A natural teacher, King emphasizes that complex software is unnecessary for success in this field. Readers, however, will find: Real-life examples that help put statistical concepts into an understandable context A glossary of important statistical terms and their use An appendix detailing ten math facts numerate people should know Perfect for undergraduate and graduate students entering advanced data analytics courses, as well as data analysts and c-suite executives just starting out, The Numerate Leader is key in helping develop the skills to identify provisional relationships between disparate data sets and then assess the significance of conclusions reached.
eBook