Excelr 2010 2013 2016 Essentials For Statistics And Data Management

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Data Mining for Business Analytics

Author : Galit Shmueli
Publisher : John Wiley & Sons
ISBN 13 : 111954985X
Total Pages : 608 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Data Analysis Using SQL and Excel

Author : Gordon S. Linoff
Publisher : John Wiley & Sons
ISBN 13 : 0470952520
Total Pages : 698 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Data Analysis Using SQL and Excel by : Gordon S. Linoff

Download or read book Data Analysis Using SQL and Excel written by Gordon S. Linoff and published by John Wiley & Sons. This book was released on 2010-09-16 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

101 Ready-to-Use Excel Formulas

Author : Dick Kusleika
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (111 download)

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Book Synopsis 101 Ready-to-Use Excel Formulas by : Dick Kusleika

Download or read book 101 Ready-to-Use Excel Formulas written by Dick Kusleika and published by . This book was released on 2014 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mr. Spreadsheet has done it again with 101 easy-to-apply Excel formulas 101 Ready-to-Use Excel Formulas is filled with the most commonly-used, real-world Excel formulas that can be repurposed and put into action, saving you time and increasing your productivity. Each segment of this book outlines a common business or analysis problem that needs to be solved and provides the actual Excel formulas to solve the problem--along with detailed explanation of how the formulas work. Written in a user-friendly style that relies on a tips and tricks approach, the book details how to perform everyday Excel tasks with confidence. 101 Ready-to-Use Excel Formulas is sure to become your well-thumbed reference to solve your workplace problems. The recipes in the book are structured to first present the problem, then provide the formula solution, and finally show how it works so that it can be customized to fit your needs. The companion website to the book allows readers to easily test the formulas and provides visual confirmation of the concepts presented. Teaches you how to implement the required Excel formula Explains and details how the formulas work Lets you reuse or customize the given formula to address your particular needs Helps you make the formulas a regular part of your new, more efficient workflow Specific real-world scenarios are used to demonstrate how to most effectively apply Excel and its powerful formulas to complete tasks faster and with greater accuracy than ever before. Now you can save time, automate, and be more efficient and productive with 101 Ready-to-Use Excel Formulas.

Head First Statistics

Author : Dawn Griffiths
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 059680086X
Total Pages : 721 pages
Book Rating : 4.5/5 (968 download)

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Book Synopsis Head First Statistics by : Dawn Griffiths

Download or read book Head First Statistics written by Dawn Griffiths and published by "O'Reilly Media, Inc.". This book was released on 2008-08-26 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics.

Modelling Physics with Microsoft Excel

Author : Bernard V Liengme
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627054197
Total Pages : 95 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Modelling Physics with Microsoft Excel by : Bernard V Liengme

Download or read book Modelling Physics with Microsoft Excel written by Bernard V Liengme and published by Morgan & Claypool Publishers. This book was released on 2014-10-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates some of the ways in which Microsoft Excel® may be used to solve numerical problems in the field of physics. But why use Excel in the first place? Certainly, Excel is never going to out-perform the wonderful symbolic algebra tools tha

Financial Modeling, fifth edition

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 0262368242
Total Pages : 1049 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Financial Modeling, fifth edition by : Simon Benninga

Download or read book Financial Modeling, fifth edition written by Simon Benninga and published by MIT Press. This book was released on 2022-02-08 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.

Statistical Methods for Food Science

Author : John A. Bower
Publisher : John Wiley & Sons
ISBN 13 : 1118541626
Total Pages : 341 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Statistical Methods for Food Science by : John A. Bower

Download or read book Statistical Methods for Food Science written by John A. Bower and published by John Wiley & Sons. This book was released on 2013-06-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist in industry or at study faces the task of using and understanding statistical methods. Statistics is often viewed as a difficult subject and is often avoided because of its complexity and a lack of specific application to the requirements of food science. This situation is changing – there is now much material on multivariate applications for the more advanced reader, but a case exists for a univariate approach aimed at the non-statistician. This second edition of Statistical Methods for Food Science provides a source text on accessible statistical procedures for the food scientist, and is aimed at professionals and students in food laboratories where analytical, instrumental and sensory data are gathered and require some form of summary and analysis before interpretation. It is suitable for the food analyst, the sensory scientist and the product developer, and others who work in food-related disciplines involving consumer survey investigations will also find many sections of use. There is an emphasis on a ‘hands-on’ approach, and worked examples using computer software packages and the minimum of mathematical formulae are included. The book is based on the experience and practice of a scientist engaged for many years in research and teaching of analytical and sensory food science at undergraduate and post-graduate level. This revised and updated second edition is accompanied by a new companion website giving the reader access to the datasets and Excel spreadsheets featured in the book. Check it out now by visiting www.wiley.com/go/bower/statistical or by scanning the QR code below.

101 Most Popular Excel Formulas

Author : John Michaloudis
Publisher : 101 Excel Series
ISBN 13 : 9788409378630
Total Pages : 380 pages
Book Rating : 4.3/5 (786 download)

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Book Synopsis 101 Most Popular Excel Formulas by : John Michaloudis

Download or read book 101 Most Popular Excel Formulas written by John Michaloudis and published by 101 Excel Series. This book was released on 2022-02-17 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the Most Popular Excel Formulas Ever: VLOOKUP, IF, SUMIF, INDEX/MATCH, COUNT, plus Many More! You'll learn to apply the Top Excel Formulas to make your data analysis easier.

R for Business Analytics

Author : A Ohri
Publisher : Springer Science & Business Media
ISBN 13 : 1461443423
Total Pages : 322 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis R for Business Analytics by : A Ohri

Download or read book R for Business Analytics written by A Ohri and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.

Microsoft Excel 2010 Formulas and Functions Inside Out

Author : Egbert Jeschke
Publisher : Pearson Education
ISBN 13 : 0735668965
Total Pages : 1601 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Microsoft Excel 2010 Formulas and Functions Inside Out by : Egbert Jeschke

Download or read book Microsoft Excel 2010 Formulas and Functions Inside Out written by Egbert Jeschke and published by Pearson Education. This book was released on 2011-12-22 with total page 1601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conquer Microsoft Excel formulas and functions—from the inside out! You’re beyond the basics, so dive right in and really put Excel formulas and functions to work! This supremely organized reference packs hundreds of timesaving solutions, troubleshooting tips, and workarounds. It’s all muscle and no fluff. Discover how the experts increase their data analysis capabilities using Excel 2003, 2007, or 2010—and challenge yourself to new levels of mastery. Customize Excel formulas using 350+ built-in functions Create reusable formulas for common calculations Learn smarter ways to calculate date and time values Systematically search worksheets with lookup and reference functions Perform advanced calculations using mathematical, statistical, and financial functions Build complex formulas by nesting one function inside of another Analyze profit margins and more with new functions in Excel 2010 Develop your own functions with Visual Basic for Applications (VBA) NOTE: The sample Excel files that accompany the book were updated on 12/4/2012. Click the Companion Content link to download the files.

Business Analytics

Author : S. Christian Albright
Publisher :
ISBN 13 : 9789814834391
Total Pages : 952 pages
Book Rating : 4.8/5 (343 download)

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Book Synopsis Business Analytics by : S. Christian Albright

Download or read book Business Analytics written by S. Christian Albright and published by . This book was released on 2017 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pro Tableau

Author : Seema Acharya
Publisher : Apress
ISBN 13 : 1484223527
Total Pages : 857 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Pro Tableau by : Seema Acharya

Download or read book Pro Tableau written by Seema Acharya and published by Apress. This book was released on 2016-12-23 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. Write your own custom SQL, etc. Perform statistical analysis in Tableau using R Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn Connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. Integrate Tableau with R Tell a compelling story with data by creating highly interactive dashboards Who this book is for All levels of IT professionals, from executives responsible for determining IT strategies to systems administrators, to data analysts, to decision makers responsible for driving strategic initiatives, etc. The book will help those familiar with Tableau software chart their journey to a visualization expert.

Excel Data Analysis

Author : Hector Guerrero
Publisher : Springer
ISBN 13 : 3030012794
Total Pages : 358 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Excel Data Analysis by : Hector Guerrero

Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer. This book was released on 2018-12-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Financial Modeling

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 9780262024822
Total Pages : 648 pages
Book Rating : 4.0/5 (248 download)

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Book Synopsis Financial Modeling by : Simon Benninga

Download or read book Financial Modeling written by Simon Benninga and published by MIT Press. This book was released on 2000 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.

How to Measure Anything in Cybersecurity Risk

Author : Douglas W. Hubbard
Publisher : John Wiley & Sons
ISBN 13 : 1119085292
Total Pages : 304 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis How to Measure Anything in Cybersecurity Risk by : Douglas W. Hubbard

Download or read book How to Measure Anything in Cybersecurity Risk written by Douglas W. Hubbard and published by John Wiley & Sons. This book was released on 2016-07-25 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A ground shaking exposé on the failure of popular cyber risk management methods How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current "risk management" practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world's eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field's premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks, and provides alternate techniques that can help improve your current situation. You'll also learn which approaches are too risky to save, and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist, and advises when to change tracks entirely. Discover the shortcomings of cybersecurity's "best practices" Learn which risk management approaches actually create risk Improve your current practices with practical alterations Learn which methods are beyond saving, and worse than doing nothing Insightful and enlightening, this book will inspire a closer examination of your company's own risk management practices in the context of cybersecurity. The end goal is airtight data protection, so finding cracks in the vault is a positive thing—as long as you get there before the bad guys do. How to Measure Anything in Cybersecurity Risk is your guide to more robust protection through better quantitative processes, approaches, and techniques.

The Art of R Programming

Author : Norman Matloff
Publisher : No Starch Press
ISBN 13 : 1593273843
Total Pages : 404 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis The Art of R Programming by : Norman Matloff

Download or read book The Art of R Programming written by Norman Matloff and published by No Starch Press. This book was released on 2011-10-11 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: –Create artful graphs to visualize complex data sets and functions –Write more efficient code using parallel R and vectorization –Interface R with C/C++ and Python for increased speed or functionality –Find new R packages for text analysis, image manipulation, and more –Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.