Statistical Data Analytics

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Introduction To Statistics And Data Analysis

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Author : Christian Heumann
language : en
Publisher: Springer Nature
Release Date : 2023-01-30

Introduction To Statistics And Data Analysis written by Christian Heumann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-30 with Mathematics categories.

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.

Statistical Data Analytics

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Author : Walter W. Piegorsch
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-11

Statistical Data Analytics written by Walter W. Piegorsch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-11 with Mathematics categories.

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced. Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others. Statistical Data Analytics: Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques. Provides informative, technical details for the highlighted methods. Employs the open-source R language as the computational vehicle – along with its burgeoning collection of online packages – to illustrate many of the analyses contained in the book. Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas. This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.

Statistical Data Analytics

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Author : Walter W. Piegorsch
language : en
Publisher: John Wiley & Sons
Release Date : 2016-03-22

Statistical Data Analytics written by Walter W. Piegorsch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-22 with Mathematics categories.

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.

An Introduction To Statistical Methods And Data Analysis

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Author : Lyman Ott
language : en
Publisher: Brooks/Cole
Release Date : 1977

An Introduction To Statistical Methods And Data Analysis written by Lyman Ott and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.

Statistical Data Analysis A Practical Introduction For Researchers And Students

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-10

Statistical Data Analysis A Practical Introduction For Researchers And Students written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-10 with Social Science categories.

**Statistical Data Analysis: A Practical Introduction for Researchers and Students** is a comprehensive introduction to statistical data analysis, covering everything from the basics to advanced techniques. Whether you are a student, researcher, or professional, this book will provide you with the knowledge and skills you need to effectively analyze and interpret data. This book covers a wide range of topics, including data collection and preparation, descriptive and inferential statistics, multivariate analysis, time series analysis, spatial data analysis, big data analytics, statistical software, and ethical issues in statistical data analysis. The book is written in a clear and concise style, with plenty of examples and exercises to help you understand the concepts and techniques. It is also assumed that you have a basic understanding of mathematics and statistics. Statistical data analysis is a powerful tool that can be used to gain insights from data. It is used in a wide variety of fields, including business, finance, healthcare, education, and social science. By understanding the principles and techniques of statistical data analysis, you will be able to make better decisions and communicate your findings more effectively. This book is an essential resource for anyone who wants to learn more about statistical data analysis. It is also a valuable reference for professionals who use statistical data analysis in their work. **Key Features:** * Comprehensive coverage of statistical data analysis topics * Clear and concise writing style * Plenty of examples and exercises * Assumes a basic understanding of mathematics and statistics * Valuable resource for students, researchers, and professionals If you like this book, write a review on google books!

Ultimate Statistical Analysis System Sas For Data Analytics Enhance Your Data Analytics Skills Optimize Workflows And Drive Informed Decision Making Across The Data Landscape With Sas

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Author : Vishesh Dhingra
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-07-24

Ultimate Statistical Analysis System Sas For Data Analytics Enhance Your Data Analytics Skills Optimize Workflows And Drive Informed Decision Making Across The Data Landscape With Sas written by Vishesh Dhingra and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.

Elevate Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Spectrum of Data Professions! Key Features● Solve practical problems using SAS with real-world case studies that provide hands-on experience. ● Clear, step-by-step tutorials that guide you through various SAS procedures, ensuring easy understanding and application. ● Explore an extensive range of SAS capabilities, from basic data management to advanced analytics and reporting techniques. Book DescriptionThe "Ultimate Statistical Analysis System (SAS) for Data Analytics" is your go-to resource for mastering SAS, a powerful software suite for statistical analysis. This comprehensive book covers everything from the basics of SAS for data professionals to advanced topics like clustering analysis and association rules. With practical examples and clear explanations, this book equips readers with the knowledge and skills needed to excel in their roles as data scientists, analysts, researchers, and more. Whether you're a beginner looking to build a solid foundation in SAS or an experienced user seeking to expand your proficiency, this handbook has something for everyone. You'll learn essential techniques for importing, cleaning, and visualizing data, as well as conducting hypothesis testing, regression analysis, and inferential statistics. Advanced topics like SAS programming concepts and generating reports are also covered in detail, providing readers with the tools to tackle complex data challenges with confidence. With its accessible writing style and emphasis on real-world applications, this book is a practical guide that empowers readers to unlock the full potential of their data. Whether you're analyzing customer behavior, optimizing business processes, or conducting academic research, this handbook will be your trusted companion on the journey to mastering SAS and making informed decisions based on data-driven insights. What you will learn ● Master the skills to import, clean, and transform data using SAS's powerful data manipulation tools. ● Gain the ability to conduct hypothesis testing to build regression models to analyze data relationships. ● Learn to design and produce compelling data visualizations that effectively communicate your data findings. ● Develop proficiency in advanced SAS programming techniques to tackle intricate analytical tasks. Table of Contents1. Introduction to SAS for Data Professionals 2. Data Import and Export in SAS 3. Data Cleaning and Transformation 4. Data Visualizations with SAS 5. Hypothesis Testing and Regression Analysis 6. Descriptive and Inferential Statistics 7. Advanced SAS Programming Concepts 8. Clustering Analysis with PROC CLUSTER 9. Association Rules in SAS 10. Generating Reports in SAS Index

Data Management And Statistical Analysis Techniques

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Author : Ronin Myers
language : en
Publisher: Scientific e-Resources
Release Date : 2019-05-19

Data Management And Statistical Analysis Techniques written by Ronin Myers and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-19 with categories.

Statistics For Data Science

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Author : James D. Miller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-11-17

Statistics For Data Science written by James D. Miller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-17 with Computers categories.

Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; Implement statistics in data science tasks such as data cleaning, mining, and analysis Learn all about probability, statistics, numerical computations, and more with the help of R programs Who This Book Is For This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful. What You Will Learn Analyze the transition from a data developer to a data scientist mindset Get acquainted with the R programs and the logic used for statistical computations Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks Get comfortable with performing various statistical computations for data science programmatically In Detail Data science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on. This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks. By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically. Style and approach Step by step comprehensive guide with real world examples

Handbook Of Statistical Analysis

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Author : Robert Nisbet
language : en
Publisher: Elsevier
Release Date : 2024-09-16

Handbook Of Statistical Analysis written by Robert Nisbet and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Mathematics categories.

Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems. - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data analytics to build successful predictive analytic solutions - Provides in-depth descriptions and directions for performing many data preparation operations necessary to generate data sets in the proper form and format for submission to modeling algorithms - Features clear, intuitive explanations of standard analytical tools and techniques and their practical applications - Provides a number of case studies to guide practitioners in the design of analytical applications to solve real-world problems in their data domain - Offers valuable tutorials on the book webpage with step-by-step instructions on how to use suggested tools to build models - Provides predictive insights into the rapidly expanding "Intelligence Age" as it takes over from the "Information Age," enabling readers to easily transition the book's content into the tools of the future

A Handbook To Business Analytics

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Author : Sahil Kohli
language : en
Publisher: Beyond Leer Publishing, an Imprint of Kohli Media LLP
Release Date : 2023-02-14

A Handbook To Business Analytics written by Sahil Kohli and has been published by Beyond Leer Publishing, an Imprint of Kohli Media LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Computers categories.

Business Analytics has become a crucial aspect of decision-making in the modern business world. With the availability of vast amounts of Data and the increasing use of technology, organizations are now relying more than ever on data-driven insights to drive growth and gain a competitive advantage. In "A Handbook to Business Analytics," authors Sahil Kohli and Deepanshi Wadhwa present a comprehensive guide to understanding the principles and practices of Business Analytics. The book covers a wide range of topics, from the basics of Data Collection and Analysis to Visualisation and Decision Analysis. With clear explanations and practical examples, this handbook is designed to be accessible to readers with little or no prior experience in the field. Whether you are a student, professional, or entrepreneur, this book will provide you with the knowledge and skills you need to make informed decisions based on data. By the end of this handbook, you will have a deep understanding of the role of Analytics in Business, the various tools and techniques available for Data Analysis, and how to apply these techniques to real-world business problems. Whether you are looking to build a career in Business Analytics or simply want to gain a competitive advantage in your current role, this book is an essential resource for anyone interested in using Data to drive Business success.