Advertisement
| analysis tool excel mac: Introductory Business Statistics 2e Alexander Holmes, Barbara Illowsky, Susan Dean, 2023-12-13 Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License. |
| analysis tool excel mac: Microsoft Excel for Stock and Option Traders Jeff Augen, 2011-04-18 Trade more profitably by exploiting Microsoft Excel’s powerful statistical and data mining tools: · Uncover subtle anomalies and distortions that signal profit opportunities · Create powerful new custom indicators, alerts, and trading models · Visualize and analyze huge amounts of trading data with just a few clicks · Powerful techniques for every active investor who can use Excel Now that high-speed traders dominate the market, yesterday’s slower-paced analysis strategies are virtually worthless. To outperform, individual traders must discover fleeting market trends and inefficiencies and act on them before they disappear. Five years ago, this required multimillion-dollar data mining and analytical infrastructures. Today, traders can use Excel with the help of world-class trader Jeff Augen’s Microsoft Excel for Stock and Option Traders: Build your Own Analytical Tools for Higher Returns. Augen shows how to use Excel 2007 or 2010 to uncover hidden correlations and reliable trade triggers based on subtle anomalies and price distortions, create and test new hypotheses others haven’t considered, and visualize data to reveal insights others can’t see! Jeff Augen turns things inside out in his remarkable and challenging book Microsoft Excel for Stock and Option Traders. - John A. Sarkett, SFO Magazine, October 2011 |
| analysis tool excel mac: Excel Data Analysis Hector Guerrero, 2018-12-14 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. |
| analysis tool excel mac: Excel Data Analysis For Dummies Paul McFedries, 2018-11-13 Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you. |
| analysis tool excel mac: Beginning Excel, First Edition Barbara Lave, Diane Shingledecker, Julie Romey, Noreen Brown, Mary Schatz, 2020 This is the first edition of a textbook written for a community college introductory course in spreadsheets utilizing Microsoft Excel; second edition available: https://openoregon.pressbooks.pub/beginningexcel19/. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before. |
| analysis tool excel mac: Next Generation Excel Isaac Gottlieb, 2013-02-04 Take Excel to the next level in accounting and financial modeling In this new Second Edition of Next Generation Excel, Isaac Gottlieb shows financial analysts how to harness the full power of Excel to move forward into the new world of accounting and finance. Companies of all sizes use financial models to analyze their finances and plan business operations, as well as to create financial accounting reports like balance sheets, income statements, and statements of cash flows. While many businesspeople are quite familiar with the reports created with financial models, most are not as familiar with the creation of the models themselves. This book shows them how to build an accurate and effective financial model using the solid functionality and easy usability of Excel. Fully updated and revised to include support for Apple users Written by a professor of management and statistics who has taught the discipline for fifteen years Appropriate for professional financial analysts, as well as MBA students For professionals and students whose responsibilities or studies include a full understanding of financial modeling, Next Generation Excel, Second Edition offers comprehensive training. |
| analysis tool excel mac: Statistical Analysis with Excel For Dummies Joseph Schmuller, 2022-01-19 Become a stats superstar by using Excel to reveal the powerful secrets of statistics Microsoft Excel offers numerous possibilities for statistical analysis—and you don’t have to be a math wizard to unlock them. In Statistical Analysis with Excel For Dummies, fully updated for the 2021 version of Excel, you’ll hit the ground running with straightforward techniques and practical guidance to unlock the power of statistics in Excel. Bypass unnecessary jargon and skip right to mastering formulas, functions, charts, probabilities, distributions, and correlations. Written for professionals and students without a background in statistics or math, you’ll learn to create, interpret, and translate statistics—and have fun doing it! In this book you’ll find out how to: Understand, describe, and summarize any kind of data, from sports stats to sales figures Confidently draw conclusions from your analyses, make accurate predictions, and calculate correlations Model the probabilities of future outcomes based on past data Perform statistical analysis on any platform: Windows, Mac, or iPad Access additional resources and practice templates through Dummies.com For anyone who’s ever wanted to unleash the full potential of statistical analysis in Excel—and impress your colleagues or classmates along the way—Statistical Analysis with Excel For Dummies walks you through the foundational concepts of analyzing statistics and the step-by-step methods you use to apply them. |
| analysis tool excel mac: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) Wayne Winston, 2021-12-17 Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook |
| analysis tool excel mac: Microsoft Excel 2019 Data Analysis and Business Modeling Wayne Winston, 2019-03-28 Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel—and build your competitive advantage: Quickly transition from Excel basics to sophisticated analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Leverage Office 365’s new Geography and Stock data types and six new functions Illuminate insights from geographic and temporal data with 3D Maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trend curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all of Excel’s great charts Quickly create forecasts from historical time-based data Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams Run Monte Carlo simulations on stock prices and bidding models Learn about basic probability and Bayes’ Theorem Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook Automate repetitive analytics tasks by using macros |
| analysis tool excel mac: Excel Statistics Neil J. Salkind, 2015-06-11 Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind’s Excel Statistics: A Quick Guide shows readers how to utilize Microsoft® Excel’s functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site. |
| analysis tool excel mac: A Microsoft Excel® Companion to Political Analysis Philip H. Pollock III, Barry C. Edwards, 2022-01-31 The trusted series of workbooks by Philip H. Pollock III and Barry C. Edwards continues with A Microsoft Excel®Companion to Political Analysis. In this new guide, students dive headfirst into actual political data working with the ubiquitous Excel software. Students learn by doing with new guided examples, annotated screenshots, step-by-step instructions, and exercises that reflect current scholarly debates in varied subfields of political science, including American politics, comparative politics, law and courts, and international relations. Chapters cover all major topics in political data analysis, from descriptive statistics through logistic regression, all with worked examples and exercises in Excel. No matter their professional goals, students can gain a leg up for their future careers by developing a working knowledge of statistics using Excel. By encouraging students to build on their existing familiarity with the Excel program, instructors can flatten the statistics learning curve and take some of the intimidation out of the learning process. Gain lost time usually spent troubleshooting software to provide students with a smooth transition into political analysis. |
| analysis tool excel mac: Microsoft Excel Formulas and Functions (Office 2021 and Microsoft 365) Paul McFedries, 2022-03-25 Use Excel 365 and Excel 2021 core features to build spreadsheets that solve business problems and deliver reliable answers. Drawing on his unsurpassed experience, Paul McFedries helps you make the most of formulas and functions, including recent improvements ranging from dynamic arrays to XLOOKUP and LET. McFedries' step-by-step projects walk you through handling key tasks, from building timesheets to projecting cash flow and aging receivables. His practical examples and clear instructions demystify intermediate-to-advanced-level formula construction, and help you leverage Excel's most useful functions in your everyday work. Becoming an Excel expert has never been easier! By reading this book, you will: Improve business analyses by adding intelligence and knowledge to your models Replace cumbersome formulas with convenient predefined functions Use modern lookups to make your formulas more powerful and flexible Simplify complex calculations with dynamic arrays in Excel 365 and Excel 2021 Use conditional formatting to reveal anomalies, problems, or opportunities Calculate loan payments, interest costs, terms, and amortization schedules Project the future value of investments, and plan to achieve investment goals Master essential discounting and cash-flow analysis tools, including NPV and IRR Sort, filter, and analyze any tabular data, from customers to inventory Easily analyze huge datasets with PivotTable calculations Perform sophisticated what-if analyses, scenario planning, and forecasting Optimize profit, cost, or operational efficiency with Solver About This Book For everyone who wants to get more done with Microsoft Excel in less time For business and financial professionals, entrepreneurs, students, and others who need to efficiently manage and analyze data |
| analysis tool excel mac: Statistics for People Who (Think They) Hate Statistics Neil J. Salkind, Bruce B. Frey, 2021-04-22 This Fifth Edition of Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the Fifth Edition is new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the Real-World Stats feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables. |
| analysis tool excel mac: Financial Management in the Public Sector XiaoHu Wang, 2014-02-15 The new edition of this popular book provides a step-by-step guide on how to use financial management and budgeting tools in the public sector. The book features a practical, case-study approach, and includes plentiful exercises and examples. It is designed as a textbook for courses on public financial management or public budgeting that focus on the application of budgeting and financial management tools. Public service professionals will also benefit from this handy primer. |
| analysis tool excel mac: Microsoft 365 Excel: The Only App That Matters MrExcel's Holy Macro! Books, Mike Girvin, 2024-09-26 Master Microsoft 365 Excel from basics to advanced with practical examples and expert guidance. Perfect for professionals and students aiming to excel in data analysis, financial modeling, and beyond. Key Features Comprehensive coverage from Excel basics to advanced functions Practical examples for real-world application Step-by-step guidance on data analysis and automation. Book DescriptionUnlock the full potential of Microsoft 365 Excel with this extensive guide, crafted for both beginners and seasoned users alike. Begin by uncovering the foundational reasons behind Excel’s creation and its unmatched significance in the business world. Dive deep into the structure of Excel files, worksheets, and key concepts that underscore the application’s versatility. As you progress, master efficient workflows, keyboard shortcuts, and powerful formulas, making Excel an indispensable tool for solving complex problems. Moving forward, the book will guide you through advanced topics, including logical tests, lookup functions, and the latest features like LET and LAMBDA functions. Gain hands-on experience with data analysis, exploring the full capabilities of standard pivot tables, advanced Power Query, and Power BI. Each chapter builds on the last, ensuring that you gain both practical skills and a deep understanding of Excel’s capabilities, preparing you to confidently tackle even the most challenging data tasks. By the end of this guide, you’ll not only be adept at using Excel but also equipped with strategies to apply Excel's advanced features to real-world scenarios—whether you’re interested in financial modeling, big data analysis, or simply enhancing efficiency in your day-to-day tasks.What you will learn Master Excel's interface and shortcuts Build efficient worksheets Apply formulas for problem-solving Leverage data analysis tools Utilize advanced Excel functions Create automated solutions with VBA. Who this book is for The ideal audience for this book includes professionals, data analysts, financial analysts, and students who are familiar with basic Excel functions but want to advance their skills. A basic understanding of Excel is recommended. |
| analysis tool excel mac: Predictive Analytics for Marketers Barry Leventhal, 2018-02-03 Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors. Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics can be used to successfully achieve a range of business purposes. |
| analysis tool excel mac: Managing Data Using Excel Mark Gardener, 2015-04-20 Microsoft Excel is a powerful tool that can transform the way you use data. This book explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving scientists at all levels the skills they need to maximize the usefulness of their data. Readers will learn how to use Excel to: * Build a dataset – how to handle variables and notes, rearrangements and edits to data. * Check datasets – dealing with typographic errors, data validation and numerical errors. * Make sense of data – including datasets for regression and correlation; summarizing data with averages and variability; and visualizing data with graphs, pivot charts and sparklines. * Explore regression data – finding, highlighting and visualizing correlations. * Explore time-related data – using pivot tables, sparklines and line plots. * Explore association data – creating and visualizing contingency tables. * Explore differences – pivot tables and data visualizations including box-whisker plots. * Share data – methods for exporting and sharing your datasets, summaries and graphs. Alongside the text, Have a Go exercises, Tips and Notes give readers practical experience and highlight important points, and helpful self-assessment exercises and summary tables can be found at the end of each chapter. Supplementary material can also be downloaded on the companion website. Managing Data Using Excel is an essential book for all scientists and students who use data and are seeking to manage data more effectively. It is aimed at scientists at all levels but it is especially useful for university-level research, from undergraduates to postdoctoral researchers. |
| analysis tool excel mac: Microsoft Excel 2016 for Mac: An Easy Beginner's Guide Philip Tranton, 2015-10-15 The 2016 Excel has also been lauded for the inclusion of more advanced integer calculating capabilities. Among these are features such as the Analysis ToolPak and the Pivot Table; enabling users to complete basic as well as more advanced accounting functions with greater efficiency. The Pivot Table feature is designed to allow a user to create tables for summarizing large sets of data; ideal for the preparation of financial reports. Pivot Table Slicers introduce a filter; making the process of working with this data more efficient. The Analysis ToolPak offers a wealth of analytical functions which include working with histograms. |
| analysis tool excel mac: The Basic Practice of Statistics Excel Manual Fred Hoppe, David S. Moore, 2003-06-15 |
| analysis tool excel mac: Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R Robert P. Hirsch, 2021-02-17 The second edition of Introduction to Biostatistical Applications in Health Research delivers a thorough examination of the basic techniques and most commonly used statistical methods in health research. Retaining much of what was popular with the well-received first edition, the thoroughly revised second edition includes a new chapter on testing assumptions and how to evaluate whether those assumptions are satisfied and what to do if they are not. The newest edition contains brand-new code examples for using the popular computer language R to perform the statistical analyses described in the chapters within. You'll learn how to use Excel to generate datasets for R, which can then be used to conduct statistical calculations on your data. The book also includes a companion website with a new version of BAHR add-in programs for Excel. This new version contains new programs for nonparametric analyses, Student-Newman-Keuls tests, and stratified analyses. Readers will also benefit from coverage of topics like: Extensive discussions of basic and foundational concepts in statistical methods, including Bayes' Theorem, populations, and samples A treatment of univariable analysis, covering topics like continuous dependent variables and ordinal dependent variables An examination of bivariable analysis, including regression analysis and correlation analysis An analysis of multivariate calculations in statistics and how testing assumptions, like assuming Gaussian distributions or equal variances, affect statistical outcomes Perfect for health researchers of all kinds, Introduction to Biostatistical Applications in Health Research also belongs on the bookshelves of anyone who wishes to better understand health research literature. Even those without a great deal of mathematical background will benefit greatly from this text. |
| analysis tool excel mac: Microsoft Excel 2016 For Mac: A Guide for Seniors Philip Tranton, 2015-10-29 Microsoft Excel 2016 is one of the products offered in the new Microsoft Office 2016, dubbed Office 16. Designed to replace the previously released Office 2013 and Office for Mac 2011, the product was first released to the public in July of 2015. The initial release was on the OS X software designed for users of Office 365, with the licensed version becoming available by mid-September of the same year. |
| analysis tool excel mac: Data Analysis with Excel Manisha Nigam, 2019-09-19 Simplify the Usage of Excel Features and Functionalities, with the Help of Examples DESCRIPTION Book is written in a lucid manner to explain the concepts in details, with adequate emphasis on examples. The intend of this book is to explain and simplify the usage of Excel features and functionalities, with help of examples. Book will enable users in working efficiently and will increase their workplace productivity.Ê It explains: ÊFunctions for calculations ÊGraphing tools ÊPivot tables ÊData analysis tools ÊMicro programming ÊAdd-ins that enable core complex operations. KEY FEATURES asic components of excel, the available menu options and tools, some customizations working with multiple workbooks and worksheets, most frequently used and useful keyboard shortcuts. An initial introduction to what are formulas, functions, and their components. Usage of multiple examples to explain the application in real world scenario. Explaining of different chart types available in Excel and how best it can be used for creating different views of data, good graphics, visualizations for dashboards, and so on. Different ways and methods to consolidate data, complex analysis, and prediction or forecast based on trends. Excel features that help in automating tasks. WHAT WILL YOU LEARN Performing functions with shortcut keys. Formulas and functions Data visualization with new chart types Gantt and Milestone Chart Smart Art and Organization Chart Putting data in perspective with Pivots Complex data analysis using Tool Pak Forecasting in Excel Mail Merge using Excel Macros in Excel What is in Excel 2019 WHO THIS BOOK IS FOR Anyone who wants to learn Excel, do the mundane task easily and quickly, do complex calculations, analysis huge data from internal or external sources, take decisions based on predictions, do forecasting, create plans and charts, monitor dashboards for progress and status, and so on. Table of Contents 1. Getting Started with Excel 2. Perform Functions with Shortcut Keys 3. Formulas and Functions 4. Data Visualization with New Chart types 5. Gantt and Milestone Chart 6. SmartArt and Organization Chart 7. Putting Data in perspective with Pivots 8. Complex Data Analysis using ToolPak 9. Forecasting in Excel 10. Mail Merge using Excel 11. Macros in Excel. 12. WhatÕs in Excel 2019 |
| analysis tool excel mac: Excel 2016 for Seniors: The Complete Guide Stewart Melart, 2015-10-29 Microsoft Excel 2016 is a part of the Microsoft Office 2016 suite. In many circles it is simply referred to as “Office 2016”. This software is the latest release in the series of the Excel software that will replace Office 2013 for the PC and Office for Mac 2011. It was first released for the OS X software and was designed for Office 365; which is how Microsoft now distributes the Office products. As with any new release of a software, there are many new features that improve the overall user experience. The improved Excel 2016 is considered to be smoother and very user friendly for even users who are not tech savvy. This is in relation to the improved menu layout and ability to use common functions that basic users are familiar with. The software can now do even more complicated calculations with greater productivity that advanced users can appreciate. This helps average users to put their data in an easy way that they can understand, manage and share. |
| analysis tool excel mac: Understanding Educational Statistics Using Microsoft Excel and SPSS Martin Lee Abbott, 2014-08-21 Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work. |
| analysis tool excel mac: Straightforward Statistics with Excel Chieh-Chen Bowen, 2021-08-25 Written in an accessible and clear manner, Straightforward Statistics with Excel® helps students across the social and behavioral sciences gradually build their skills to develop a better understanding of the world around them. The Second Edition features Excel instructions and exercises so students can use the widely-available software. |
| analysis tool excel mac: Hands-On Machine Learning with Microsoft Excel 2019 Julio Cesar Rodriguez Martino, 2019-04-30 A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis. Key FeaturesUse Microsoft's product Excel to build advanced forecasting models using varied examples Cover range of machine learning tasks such as data mining, data analytics, smart visualization, and more Derive data-driven techniques using Excel plugins and APIs without much code required Book Description We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed. At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning. What you will learnUse Excel to preview and cleanse datasetsUnderstand correlations between variables and optimize the input to machine learning modelsUse and evaluate different machine learning models from ExcelUnderstand the use of different visualizationsLearn the basic concepts and calculations to understand how artificial neural networks workLearn how to connect Excel to the Microsoft Azure cloudGet beyond proof of concepts and build fully functional data analysis flowsWho this book is for This book is for data analysis, machine learning enthusiasts, project managers, and someone who doesn't want to code much for performing core tasks of machine learning. Each example will help you perform end-to-end smart analytics. Working knowledge of Excel is required. |
| analysis tool excel mac: How to Use Excel® in Analytical Chemistry Robert de Levie, 2001-02-05 Because of their intuitive layout, extensive mathematical capabilities, and convenient graphics, spreadsheets provide an easy, straightforward route to scientific computing. This textbook for undergraduate and entry-level graduate chemistry and chemical engineering students uses Excel, the most powerful available spreadsheet, to explore and solve problems in general and chemical data analysis. This is the only up-to-date text on the use of spreadsheets in chemistry. The book discusses topics including statistics, chemical equilibria, pH calculations, titrations, and instrumental methods such as chromatography, spectrometry, and electroanalysis. It contains many examples of data analysis, and uses spreadsheets for numerical simulations, and testing analytical procedures. It also treats modern data analysis methods such as linear and non-linear least squares in great detail, as well as methods based on Fourier transformation. The book shows how matrix methods can be powerful tools in data analysis, and how easily these are implemented on a spreadsheet and describes in detail how to simulate chemical kinetics on a spreadsheet. It also introduces the reader to the use of VBA, the macro language of Microsoft Office, which lets the user import higher-level computer programs into the spreadsheet. |
| analysis tool excel mac: Data Forecasting and Segmentation Using Microsoft Excel Fernando Roque, 2022-05-27 Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning Key Features • Segment data, regression predictions, and time series forecasts without writing any code • Group multiple variables with K-means using Excel plugin without programming • Build, validate, and predict with a multiple linear regression model and time series forecasts Book Description Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection. You'll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you'll be able to detect outliers that could indicate possible fraud or a bad function in network packets. By the end of this Microsoft Excel book, you'll be able to use the classification algorithm to group data with different variables. You'll also be able to train linear and time series models to perform predictions and forecasts based on past data. What you will learn • Understand why machine learning is important for classifying data segmentation • Focus on basic statistics tests for regression variable dependency • Test time series autocorrelation to build a useful forecast • Use Excel add-ins to run K-means without programming • Analyze segment outliers for possible data anomalies and fraud • Build, train, and validate multiple regression models and time series forecasts Who this book is for This book is for data and business analysts as well as data science professionals. MIS, finance, and auditing professionals working with MS Excel will also find this book beneficial. |
| analysis tool excel mac: Data Analysis Using SQL and Excel Gordon S. Linoff, 2010-09-16 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. |
| analysis tool excel mac: Data Visualization and Statistical Literacy for Open and Big Data Prodromou, Theodosia, 2017-03-20 Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis. |
| analysis tool excel mac: Using Microsoft Office Excel 2003 Patrick Blattner, 2004 Learn quickly and efficiently from a true Excel master using the tried and true Special Edition Using formula for success. Here, readers will find information that's undocumented elsewhere--even in Microsoft's own Help systems. |
| analysis tool excel mac: The Excel Data and Statistics Cookbook, Third Edition Larry Pace, 2012-11-12 The Excel Data and Statistics Cookbook,3rd edition, covers all the basic descriptive and inferential statistics taught in an introductory class. Completely updated to illustrate Excel 2013, 2011 (for Mac), and 2010, this book is classroom-tested and instructor-approved. |
| analysis tool excel mac: Excel by Example Aubrey Kagan, 2004-05-19 The spreadsheet has become a ubiquitous engineering tool, and Microsoft Excel is the standard spreadsheet software package. Over the years, Excel has become such a complex program that most engineers understand and use only a tiny part of its power and features. This book is aimed at electronics engineers and technicians in particular, showing them how to best use Excel's features for computations, circuit modeling, graphing, and data analysis as applied to electronics design. Separate chapters cover lookup tables and file I/O, using macros, graphing, controls, using Analysis Toolpak for statistical analysis, databases, and linking into Excel from other sources, such as data from a serial port. The book is basically an engineering cookbook, with each chapter providing tutorial information along with several Excel recipes of interest to electronics engineers. The accompanying CD-ROM features ready-to-run, customizable Excel worksheets derived from the book examples, which will be useful tools to add to any electronics engineer's spreadsheet toolbox. Engineers are looking for any and all means to increase their efficiency and add to their bag of design tricks. Just about every electronics engineer uses Excel but most feel that the program has many more features to offer, if they only knew what they were! The Excel documentation is voluminous and electronics engineers don't have the time to read it all and sift through looking for those features that are directly applicable to their jobs and figure out how to use them. This book does that task for them-pulls out those features that they need to know about and shows them how to make use of them in specific design examples that they can then tailor to their own design needs. *This is the ONLY book to deal with Excel specifically in the electronics field *Distills voluminous and time-consuming Excel documentation down to nitty-gritty explanations of those features that are directly applicable to the electronics engineer's daily job duties *The accompanying CD-ROM provides ready-to-use, fully-customizable worksheets from the book's examples |
| analysis tool excel mac: Statistical Hypothesis Testing with Microsoft ® Office Excel ® Robert Hirsch, 2022-07-14 This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. The author explains how a hypothesis test can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis test are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis tests are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis tests when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses. |
| analysis tool excel mac: InfoWorld , 1992-09-07 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| analysis tool excel mac: Microsoft Office 2008 for Mac Bible Sherry Kinkoph Gunter, Jennifer Ackerman Kettell, Greg Kettell, 2009-04-20 Written by an expert in the field of technology training and author of nearly two dozen titles, this complete guide offers readers thorough yet clear instruction on using the Microsoft Office suite: Word, Excel, PowerPoint, and Entourage Apple has welcomed Microsoft Office into its world and this reference is the ultimate resource for learning how to best capitalize on each application of Office Reviews creating, editing, formatting, and sharing digital documents with Word; gathering and analyzing information with Excel; creating dynamic presentations with PowerPoint; and using the e-mail and calendar of Entourage |
| analysis tool excel mac: Excel 2013 in easy steps Michael Price, 2013-11-18 Excel 2013 in easy steps shows you how to quickly get to grips with the new features of Microsoft’s latest version of this popular spreadsheet application. Excel 2013 brings more intuitive ways to explore, analyse and display your data, and simplifies sharing and collaborating using cloud storage. Excel 2013 in easy steps explores the Ribbon interface provided by Office 2013 and the subscription version, Office 365. It shows you how to create and manipulate worksheets, starting with the basic concepts, then introducing functions and features that allow you to organize and manage vast amounts of information. It covers the Excel Table data list structures, advanced functions and Excel add-ins, and shows you how to present your worksheet data in chart formats. The book will help you to create macros, recorded or via Visual Basic. You'll learn how to use templates, tools and other resources to help you apply Excel to various tasks. You'll link your worksheets to other workbooks and get automatic updates. It also covers Excel on the Internet, using the Office Web Apps. Written concisely, yet comprehensively, Excel 2013 in easy steps uses detailed images and easy-to-follow instructions to get you up to speed with Excel, whether you’re just upgrading from a previous version or you are new to the spreadsheet concept. |
| analysis tool excel mac: Working with Excel Priscilla Chaffe-Stengel, 2012-12-08 Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well in the electronic environment with raw data. Although some statistical and financial techniques for analyzing data are sophisticated and require specialized expertise, there are methods that are understandable and applicable by anyone with basic algebra skills and the support of a spreadsheet package. And this book brings these understandable tools to light. This book gives you real insight: • To refresh fundamental mathematical operations that broadly support statistical and financial equations and formulas • To perform business analysis in Excel spreadsheets • To facilitate graphic representations of data • To create mathematical models in spreadsheets |
| analysis tool excel mac: Escape From Excel Hell Loren Abdulezer, 2006-06-06 Written especially for advanced beginners and intermediate users, this book offers quick fixes for anyone bedeviled by faulty formulas, failed formatting, printer purgatory, and other perplexing Excel problems Offers three types of fixes: Escape in Under 30 Seconds, Escape in Under Two Minutes, and More Elaborate Escapes-over 400 solutions in all Topics covered include formula fixes, formatting fixes, data and layout fixes for Excel charts, PivotTable fixes, managing complexity in very large spreadsheets, fixing broken procedure functions, and more Includes preventive measures and best practices that teach users how to avoid problems in the future Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| analysis tool excel mac: Advancing Into Analytics George Mount, 2021-01-22 Data analytics may seem daunting, but if you're familiar with Excel, you have a head start that can help you make the leap into analytics. Advancing into Analytics will lower your learning curve. Author George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate Excel users to a solid understanding of analytics and the data stack. This book demonstrates key statistical concepts from spreadsheets and pivots your existing knowledge about data manipulation into R and Python programming. With this practical book at your side, you'll learn how to: Explore a dataset for potential research questions to check assumptions and to build hypotheses Make compelling business recommendations using inferential statistics Load, view, and write datasets using R and Python Perform common data wrangling tasks such as sorting, filtering, and aggregating using R and Python Navigate and execute code in Jupyter notebooks Identify, install, and implement the most useful open source packages for your needs And more. |
analysis 与 analyses 有什么区别? - 知乎
也就是说，当analysis 在具体语境中表示抽象概念时，它就成为了不可数名词，本身就没有analyses这个复数形式，二者怎么能互换呢？ 当analysis 在具体语境中表示可数名词概念时（有复数形 …
Geopolitics: Geopolitical news, analysis, & discussion - Reddit
Geopolitics is focused on the relationship between politics and territory. Through geopolitics we attempt to analyze and predict the actions and decisions of nations, or other forms of political …
r/StockMarket - Reddit's Front Page of the Stock Market
Welcome to /r/StockMarket! Our objective is to provide short and mid term trade ideas, market analysis & commentary for active traders and investors. Posts about equities, options, forex, …
Alternate Recipes In-Depth Analysis - An Objective Follow-up
Sep 14, 2021 · This analysis in the spreadsheet is completely objective. The post illustrates only one of the many playing styles, the criteria of which are clearly defined in the post - a middle of the …
What is the limit for number of files and data analysis for ... - Reddit
Jun 19, 2024 · Number of Files: You can upload up to 25 files concurrently for analysis. This includes a mix of different types, such as documents, images, and spreadsheets. Data Analysis …
为什么很多人认为TPAMI是人工智能所有领域的顶刊？ - 知乎
Dec 15, 2024 · TPAMI全称是IEEE Transactions on Pattern Analysis and Machine Intelligence，从名字就能看出来，它关注的是"模式分析"和"机器智能"这两个大方向。这两个方向恰恰是人工智能最核心 …
The UFO reddit
Aug 31, 2022 · We have declassified documents about anomalous incidents that directly conflict the new AARO report to a point it makes me wonder what they are even doing.
origin怎么进行线性拟合 求步骤和过程？ - 知乎
在 Graph 1 为当前激活窗口时，点击 Origin 菜单栏上的 Analysis ——> Fitting ——> Linear Fit ——> Open Dialog。直接点 OK 就可以了。 完成之后，你会在 Graph 1 中看到一条红色的直线 穿过原先的 …
X射线光电子能谱（XPS）
X射线光电子能谱（XPS）是一种用于分析材料表面化学成分和电子状态的先进技术。
Do AI-Based Trading Bots Actually Work for Consistent Profit?
Sep 18, 2023 · Statisitical analysis of human trends in sentiment seems to be a reasonable approach to anticipating changes in sentiment which drives some amount of trading behaviors. Statistics …
analysis 与 analyses 有什么区别? - 知乎
也就是说，当analysis 在具体语境中表示抽象概念时，它就成为了不可数名词，本身就没有analyses这个复数形式，二者怎么能互换呢？ 当analysis 在具体语境中表示可数名词概念时（ …
Geopolitics: Geopolitical news, analysis, & discussion - Reddit
Geopolitics is focused on the relationship between politics and territory. Through geopolitics we attempt to analyze and predict the actions and decisions of nations, or other forms of political …
r/StockMarket - Reddit's Front Page of the Stock Market
Welcome to /r/StockMarket! Our objective is to provide short and mid term trade ideas, market analysis & commentary for active traders and investors. Posts about equities, options, forex, …
Alternate Recipes In-Depth Analysis - An Objective Follow-up
Sep 14, 2021 · This analysis in the spreadsheet is completely objective. The post illustrates only one of the many playing styles, the criteria of which are clearly defined in the post - a middle of …
What is the limit for number of files and data analysis for ... - Reddit
Jun 19, 2024 · Number of Files: You can upload up to 25 files concurrently for analysis. This includes a mix of different types, such as documents, images, and spreadsheets. Data …
为什么很多人认为TPAMI是人工智能所有领域的顶刊？ - 知乎
Dec 15, 2024 · TPAMI全称是IEEE Transactions on Pattern Analysis and Machine Intelligence，从名字就能看出来，它关注的是"模式分析"和"机器智能"这两个大方向。这两个方向恰恰是人工 …
The UFO reddit
Aug 31, 2022 · We have declassified documents about anomalous incidents that directly conflict the new AARO report to a point it makes me wonder what they are even doing.
origin怎么进行线性拟合 求步骤和过程？ - 知乎
在 Graph 1 为当前激活窗口时，点击 Origin 菜单栏上的 Analysis ——> Fitting ——> Linear Fit ——> Open Dialog。直接点 OK 就可以了。 完成之后，你会在 Graph 1 中看到一条红色的直线 …
X射线光电子能谱（XPS）
X射线光电子能谱（XPS）是一种用于分析材料表面化学成分和电子状态的先进技术。
Do AI-Based Trading Bots Actually Work for Consistent Profit?
Sep 18, 2023 · Statisitical analysis of human trends in sentiment seems to be a reasonable approach to anticipating changes in sentiment which drives some amount of trading behaviors. …
