Statistics Toolkit

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Statistics Toolkit

Rafael Perera,Carl Heneghan,Douglas Badenoch
Statistics Toolkit Book PDF

Author : Rafael Perera,Carl Heneghan,Douglas Badenoch
Publisher : John Wiley & Sons
Page : 128 pages
File Size : 54,8 Mb
Release : 2011-09-23
Category : Medical
ISBN : 9781444358490

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Statistics Toolkit by Rafael Perera,Carl Heneghan,Douglas Badenoch Pdf

This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner. Sections include: Clear explanation of basic concepts in the context of clinical research Demonstration of how data are described, displayed and interpreted in different formats Practical glossary and key to the symbols used in statistics and a discussion of the software tools The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.

The Data Warehouse Toolkit

Ralph Kimball,Margy Ross
The Data Warehouse Toolkit Book PDF

Author : Ralph Kimball,Margy Ross
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 40,8 Mb
Release : 2011-08-08
Category : Computers
ISBN : 9781118082140

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The Data Warehouse Toolkit by Ralph Kimball,Margy Ross Pdf

This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

The Data Toolkit

Robert T. Hess,Pam Robbins
The Data Toolkit Book PDF

Author : Robert T. Hess,Pam Robbins
Publisher : Corwin Press
Page : 160 pages
File Size : 46,7 Mb
Release : 2011-12-01
Category : Education
ISBN : 9781452269382

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The Data Toolkit by Robert T. Hess,Pam Robbins Pdf

How to accelerate analysis into action Boost your professional learning community’s ability to translate data into action with this new book from Pam Robbins and Robert T. Hess. The Data Toolkit provides ten easy-to-use tools that don’t require statistical expertise, can be implemented in a timely manner, and facilitate problem-solving at school and district levels. These proven methods help educators: Frame the questions Drive the conversation Engage in productive reflection Uncover understandings Create a data-driven plan Achieve and monitor results Included are instructions, sample scenarios, reproducibles, and case studies—practical tools that will help your PLC be the best it can be!

An Introduction to Statistical Learning

Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor
An Introduction to Statistical Learning Book PDF

Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor
Publisher : Springer Nature
Page : 617 pages
File Size : 43,6 Mb
Release : 2023-08-01
Category : Mathematics
ISBN : 9783031387470

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An Introduction to Statistical Learning by Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor Pdf

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Statistical Tools for Finance and Insurance

Pavel Čižek,Wolfgang Härdle,Rafał Weron
Statistical Tools for Finance and Insurance Book PDF

Author : Pavel Čižek,Wolfgang Härdle,Rafał Weron
Publisher : Springer Science & Business Media
Page : 534 pages
File Size : 42,9 Mb
Release : 2005
Category : Business & Economics
ISBN : 3540221891

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Statistical Tools for Finance and Insurance by Pavel Čižek,Wolfgang Härdle,Rafał Weron Pdf

Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Covering topics such as heavy tailed distributions, implied trinomial trees, support vector machines, valuation of mortgage-backed securities, pricing of CAT bonds, simulation of risk processes and ruin probability approximation, the book does not only offer practitioners insight into new methods for their applications, but it also gives theoreticians insight into the applicability of the stochastic technology. Additionally, the book provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations. Written in an accessible and engaging style, this self-instructional book makes a good use of extensive examples and full explanations. Thenbsp;design of the text links theory and computational tools in an innovative way. All Quantlets for the calculation of examples given in the text are supported by the academic edition of XploRe and may be executed via XploRe Quantlet Server (XQS). The downloadable electronic edition of the book enables one to run, modify, and enhance all Quantlets on the spot.

A Python Data Analyst’s Toolkit

Gayathri Rajagopalan
A Python Data Analyst s Toolkit Book PDF

Author : Gayathri Rajagopalan
Publisher : Apress
Page : 240 pages
File Size : 46,9 Mb
Release : 2021-02-21
Category : Computers
ISBN : 1484263987

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A Python Data Analyst’s Toolkit by Gayathri Rajagopalan Pdf

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics. What You'll Learn Further your programming and analytical skills with Python Solve mathematical problems in calculus, and set theory and algebra with Python Work with various libraries in Python to structure, analyze, and visualize data Tackle real-life case studies using Python Review essential statistical concepts and use the Scipy library to solve problems in statistics Who This Book Is For Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.

Rust Programming Cookbook

Claus Matzinger
Rust Programming Cookbook Book PDF

Author : Claus Matzinger
Publisher : Packt Publishing Ltd
Page : 434 pages
File Size : 40,6 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9781789531749

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Rust Programming Cookbook by Claus Matzinger Pdf

Practical solutions to overcome challenges in creating console and web applications and working with systems-level and embedded code, network programming, deep neural networks, and much more. Key FeaturesWork through recipes featuring advanced concepts such as concurrency, unsafe code, and macros to migrate your codebase to the Rust programming language Learn how to run machine learning models with Rust Explore error handling, macros, and modularization to write maintainable codeBook Description Rust 2018, Rust's first major milestone since version 1.0, brings more advancement in the Rust language. The Rust Programming Cookbook is a practical guide to help you overcome challenges when writing Rust code. This Rust book covers recipes for configuring Rust for different environments and architectural designs, and provides solutions to practical problems. It will also take you through Rust's core concepts, enabling you to create efficient, high-performance applications that use features such as zero-cost abstractions and improved memory management. As you progress, you'll delve into more advanced topics, including channels and actors, for building scalable, production-grade applications, and even get to grips with error handling, macros, and modularization to write maintainable code. You will then learn how to overcome common roadblocks when using Rust for systems programming, IoT, web development, and network programming. Finally, you'll discover what Rust 2018 has to offer for embedded programmers. By the end of the book, you'll have learned how to build fast and safe applications and services using Rust. What you will learnUnderstand how Rust provides unique solutions to solve system programming language problemsGrasp the core concepts of Rust to develop fast and safe applicationsExplore the possibility of integrating Rust units into existing applications for improved efficiencyDiscover how to achieve better parallelism and security with RustWrite Python extensions in RustCompile external assembly files and use the Foreign Function Interface (FFI)Build web applications and services using Rust for high performanceWho this book is for The Rust cookbook is for software developers looking to enhance their knowledge of Rust and leverage its features using modern programming practices. Familiarity with Rust language is expected to get the most out of this book.

Storytelling with Data in Healthcare

Kevin Masick,Eric Bouillon
Storytelling with Data in Healthcare Book PDF

Author : Kevin Masick,Eric Bouillon
Publisher : Routledge
Page : 192 pages
File Size : 53,7 Mb
Release : 2020-11-29
Category : Business & Economics
ISBN : 9781000226508

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Storytelling with Data in Healthcare by Kevin Masick,Eric Bouillon Pdf

With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs is no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: know your numbers; develop behavioral interventions; and set goals to drive change. With the availability of electronic data sources, the quantity and quality of data have grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors’ tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS Star Rating and Hospital Compare. Storytelling with Data in Healthcare combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Wang, John
Data Warehousing and Mining Concepts Methodologies Tools and Applications Book PDF

Author : Wang, John
Publisher : IGI Global
Page : 4092 pages
File Size : 54,9 Mb
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 9781599049526

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Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications by Wang, John Pdf

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Data Wrangling with JavaScript

Ashley Davis
Data Wrangling with JavaScript Book PDF

Author : Ashley Davis
Publisher : Simon and Schuster
Page : 657 pages
File Size : 43,8 Mb
Release : 2018-12-02
Category : Computers
ISBN : 9781638351139

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Data Wrangling with JavaScript by Ashley Davis Pdf

Summary Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end. About the Book Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! With this hands-on guide, you'll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You'll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit. What's inside Establishing a data pipeline Acquisition, storage, and retrieval Handling unusual data sets Cleaning and preparing raw dataInteractive visualizations with D3 About the Reader Written for intermediate JavaScript developers. No data analysis experience required. About the Author Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript. Table of Contents Getting started: establishing your data pipeline Getting started with Node.js Acquisition, storage, and retrieval Working with unusual data Exploratory coding Clean and prepare Dealing with huge data files Working with a mountain of data Practical data analysis Browser-based visualization Server-side visualization Live data Advanced visualization with D3 Getting to production

The Data Coach's Guide to Improving Learning for All Students

Nancy Love,Katherine E. Stiles
The Data Coach s Guide to Improving Learning for All Students Book PDF

Author : Nancy Love,Katherine E. Stiles
Publisher : Corwin Press
Page : 409 pages
File Size : 40,9 Mb
Release : 2008-02-27
Category : Education
ISBN : 9781412950015

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The Data Coach's Guide to Improving Learning for All Students by Nancy Love,Katherine E. Stiles Pdf

Use data as an effective tool for school change and improvement! This resource helps data team facilitators move schools away from unproductive data practices and toward examining data for systematic and continuous improvement in instruction and learning. The book, which includes a CD-ROM with slides and reproducibles, illustrates how the authors' model has proven successful in: Narrowing achievement gaps in all content areas and grade levels Achieving strong, continuous gains in local and state assessments in mathematics, science, and reading Initiating powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing a vision for a high-performing, data-informed school culture

Modern Statistics with R

Måns Thulin
Modern Statistics with R Book PDF

Author : Måns Thulin
Publisher : BoD - Books on Demand
Page : 598 pages
File Size : 55,9 Mb
Release : 2021-07-28
Category : Mathematics
ISBN : 9789152701515

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Modern Statistics with R by Måns Thulin Pdf

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. - Exploratory data analysis - using visualisation and multivariate techniques to explore datasets. - Statistical inference - modern methods for testing hypotheses and computing confidence intervals. - Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. - Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. - Ethics in statistics - ethical issues and good statistical practice. - R programming - writing code that is fast, readable, and free from bugs. Starting from the very basics, Modern Statistics with R helps you learn R by working with R. Topics covered range from plotting data and writing simple R code to using cross-validation for evaluating complex predictive models and using simulation for sample size determination. The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.

Medical Statistics

Filomena Pereira-Maxwell
Medical Statistics Book PDF

Author : Filomena Pereira-Maxwell
Publisher : CRC Press
Page : 417 pages
File Size : 48,9 Mb
Release : 2018-05-15
Category : Medical
ISBN : 9781444167351

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Medical Statistics by Filomena Pereira-Maxwell Pdf

Clear and user-friendly A-Z format, in handy a pocket size, allows speedy access to information in all settings Fully updated and expanded to cover over 500 statistical terms for comprehensive coverage Enhanced explanations of statistical concepts and methods, including more illustrative content, for greater accessibility Frequent use of examples from the medical literature, with reference to landmark studies, ensures clinical relevance Those new to medical statistics and the more experienced reader will find something of interest here

The Entrepreneurial Journalist's Toolkit

Sara Kelly
The Entrepreneurial Journalist s Toolkit Book PDF

Author : Sara Kelly
Publisher : CRC Press
Page : 226 pages
File Size : 43,9 Mb
Release : 2015-02-11
Category : Language Arts & Disciplines
ISBN : 9781317597216

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The Entrepreneurial Journalist's Toolkit by Sara Kelly Pdf

Today’s journalism and communication students need the tools to develop and maintain their own media businesses and freelance careers. In addition to mastering the basics of converged journalism practice, they need training in business entrepreneurship, mass communication and business law, and career and reputation management. The Entrepreneurial Journalist's Toolkit provides a solid foundation of multimedia journalism and also teaches readers to create solid business plans and develop funding proposals while maintaining high legal and ethical standards. This book details the process of pitching and working with clients, managing multi-platform communication campaigns to maximize reach, keeping the books, and filing taxes. It is provides everything a new or experienced journalist needs to get started as a media entrepreneur.

SPSS Statistics for Data Analysis and Visualization

Keith McCormick,Jesus Salcedo
SPSS Statistics for Data Analysis and Visualization Book PDF

Author : Keith McCormick,Jesus Salcedo
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 46,9 Mb
Release : 2017-05-01
Category : Computers
ISBN : 9781119003557

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SPSS Statistics for Data Analysis and Visualization by Keith McCormick,Jesus Salcedo Pdf

Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.