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| data analysis macbook excel: 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. |
| data analysis macbook excel: Quantitative Data Analysis Using MS Excel: a School Administrator's Guide Gerard Babo, Leonard H. Elovitz, 2015-01-01 |
| data analysis macbook excel: 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. |
| data analysis macbook excel: Excel for Statistics. How to Organize Data Per Vejrup-Hansen, |
| data analysis macbook excel: 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. |
| data analysis macbook excel: Data Analysis with Excel Nigam Manisha, 2019-09-20 Simplify the Usage of Excel Features and Functionalities, with the Help of Examples Key features Basic 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. DescriptionBook 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. It explains: Functions for calculations Graphing tools Pivot tables Data analysis tools Micro programming Add-ins that enable core complex operations. 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 forAnyone 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 contents1. Getting Started with Excel2. Perform Functions with Shortcut Keys3. Formulas and Functions4. Data Visualization with New Chart types5. Gantt and Milestone Chart6. SmartArt and Organization Chart7. Putting Data in perspective with Pivots8. Complex Data Analysis using ToolPak9. Forecasting in Excel10. Mail Merge using Excel11. Macros in Excel.12. What's in Excel 2019 About the authorManisha Nigam is a seasoned management professional with twenty plus years of information technology experience, working with multinationals across the globe. Her expertise in Excel comes from the vast experience she has in using and understanding the software over the years, that helped her in working efficiently and managing complex programs. A certified PMP (PMI - Project Management Professional), CSM (Scrum Alliance - Scrum Master), TOGAF 9.1 (The Open Group - Enterprise Architecture) and holds a post graduate degree in computer science and business management from prestigious universities in India. Her LinkedIn Profile: linkedin.com/in/mnigam10 |
| data analysis macbook excel: 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. |
| data analysis macbook excel: 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. |
| data analysis macbook excel: 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. |
| data analysis macbook excel: 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 |
| data analysis macbook excel: Excel X for Mac OS X Maria Langer, 2002 Excel X for Mac OS X is the model OS X app, from its Aqua interface to its complete support for OS X's modern architecture. In Excel X for Mac OS X: Visual QuickStart Guide, author Maria Langer, veteran Mac writer and consultant, walks you through all that's new and noteworthy in Microsoft's spreadsheet powerhouse, dispensing lots of expert tips along the way. Maria knows you're a busy professional. That's why Excel X for Mac OS X: VQS was designed to let you learn as you work. Use it as a quick-reference guide: Just look up a topic in the index--or use the page tabs to thumb to it--then follow the simple, concise steps and check your results against the accompanying screenshots. Newcomers can treat the book as a step-by-step introduction to Excel, starting with the basics, then moving on to more advanced techniques, such as inserting objects and multimedia events, creating charts and graphs, and publishing spreadsheets to the Web. |
| data analysis macbook excel: 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. |
| data analysis macbook excel: Statistics for People Who (Think They) Hate Statistics Neil J. Salkind, 2016-01-29 Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel. |
| data analysis macbook excel: Microsoft Office 2016 for Mac: The Complete Beginner's Guide Mark Lancer, 2015-09-24 Mac users need not be bothered in the least as the 2016 versions of Word, OneNote, Outlook, Excel and Word are here to give you the best experience ever. In addition to all the cool new features that are packed into this software you can have the entire suite cloud-connected, so you can have all your documents at your disposal anytime and place. You will enjoy the comfort ease of locating important information anywhere you are. You will also be able to capitalize on the great opportunity of sharing your documents with your friends, family or colleagues as you get your most important tasks done with easy and great new features. |
| data analysis macbook excel: Office 2008 for Mac All-in-One For Dummies Geetesh Bajaj, Jim Gordon, 2009-09-18 The perfect companion for taking the Microsoft Office suite to the Mac! So you finally got a Mac, but you’re not looking forward to figuring out how Office works in a different environment? No worries! All you need is Microsoft Office 2008 For Mac All-in-One For Dummies to learn the fundamentals of Office 2008. With six books in one, it shows you how to use every Office 2008 for Mac application, so you can start getting things done right away. Written by Microsoft MVPs, Microsoft Office 2008 For Mac All-in-One For Dummies provides a user-friendly guide on how to master all the programs: Excel, Word, PowerPoint, and Entourage. This book explores ways to: Use the new galleries to find features, formats, wizards, templates, and recently used files Create your own templates on Excel and open Web pages in HTML format Take advantage of PowerPoint by adding animation to your slides, inserting music from your iTunes library, and fine-tuning the timing Organize your schedule on My Day, handle contacts and e-mail, and manage a database—all through Entourage Manage projects of all sizes on the Project Center Use all the applications together, and to their full potential With this all-in-one reference, you’ll become an expert on sharing files with Windows users, integrating Office 2008 with iLife and other Mac applications, and working with Office and Web 2.0, as well as other common business tasks. This book makes it that easy! |
| data analysis macbook excel: 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 |
| data analysis macbook excel: Master VISUALLY Excel 2007 Elaine Marmel, 2008-03-31 If you prefer instructions that show you how rather than tell you why, then this visual reference is for you. Hundreds of succinctly captioned, step-by-step screen shots reveal how to accomplish more than 375 Excel 2007 tasks, including creating letters with Mail Merge, assigning formats to cells, editing multiple worksheets at once, and summarizing with PivotTables and PivotCharts. While high-resolution screen shots demonstrate each task, succinct explanations walk you through step by step so that you can digest these vital lessons in bite-sized modules. |
| data analysis macbook excel: 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. |
| data analysis macbook excel: 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. |
| data analysis macbook excel: 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. |
| data analysis macbook excel: Learn Office 2011 for Mac OS X Guy Hart-Davis, 2011-08-18 Office for Mac remains the leading productivity suite for Mac, with Apple’s iWork and the free OpenOffice.org trailing far behind. Now, it's been updated with a cleaner interface and more compatibility with Exchange and SharePoint. Learn Office 2011 for Mac OS X offers a practical, hands-on approach to using Office 2011 applications to create and edit documents and get work done efficiently. You'll learn how to customize Office, design, create, and share documents, manipulate data in a spreadsheet, and create lively presentations. You'll also discover how to organize your email, contacts, and tasks with the new Outlook for Mac. Conveying information quickly and concisely, the book brings you from beginner or intermediate to an experienced and confident user. This book provides the best combination of accessible and focused coverage of the Office 2011 applications. Rather than cover every seldom-used feature, the book covers real-world usage, putting emphasis on practical tasks and troubleshooting common problems, such as sharing documents with Windows users and older versions of Office. |
| data analysis macbook excel: Learn Excel 2011 for Mac Guy Hart-Davis, 2011-08-04 Microsoft Excel 2011 for Mac OS X is a powerful application, but many of its most impressive features can be difficult to find. Learn Excel 2011 for Mac by Guy Hart-Davis is a practical, hands-on approach to learning all of the details of Excel 2011 in order to get work done efficiently on Mac OS X. From using formulas and functions to creating databases, from analyzing data to automating tasks, you'll learn everything you need to know to put this powerful application to use for a variety of tasks. |
| data analysis macbook excel: Statistics for Big Data For Dummies Alan Anderson, 2015-08-31 The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more. Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word statistics alone can evoke feelings of anxiety in even the most confident student or professional, it doesn't have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining—without losing your cool. Helps you to identify valid, useful, and understandable patterns in data Provides guidance on extracting previously unknown information from large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for working in big data If you're a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed. |
| data analysis macbook excel: Data Smart John W. Foreman, 2013-10-31 Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the data scientist, toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know. |
| data analysis macbook excel: Statistical Methods Cheryl Ann Willard, 2020-02-27 Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of thought questions and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual |
| data analysis macbook excel: Office 2011 for Mac All-in-One For Dummies Geetesh Bajaj, James Gordon, 2011-02-10 Get up to speed on the revolutionary changes in Office for the Mac The 2011 version of the Microsoft Office productivity suite for the Mac sports major changes from what Mac users are accustomed to. This soup-to-nuts guide gets the Mac crowd up to date quickly and easily. Individual minibooks thoroughly cover the Project Gallery, Word, Excel, PowerPoint, Outlook (new for Mac), and the Project Center. You’ll learn how the new Office integrates with the Windows version, how to use and customize the new Ribbon interface, and much more. Office for Mac is the most popular office productivity suite for the Mac, used by 1.5 to 2 million people The new version includes new features such as the Ribbon interface, Outlook (which replaces Entourage), and greater integration with the Windows version Covers everything you’ll want to know about the Project Gallery, Word, Excel, PowerPoint, Outlook, and the Project Center With Office 2011 for Mac All-in-One For Dummies, you’ll be ready to use the newest version of Office like a pro. |
| data analysis macbook excel: Improving the User Experience through Practical Data Analytics Mike Fritz, Paul D. Berger, 2015-03-03 Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data—not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you'll delight your users, increase your bottom line and gain a powerful competitive advantage for your company—and yourself. Key features include: - Practical advise on choosing the right data analysis technique for each project. - A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field. - Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS. - Clear and concise guidance on interpreting the data output. - Exercises to practice the techniques - Practical guidance on choosing the right data analysis technique for each project. - Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals. - A step-by-step methodology for applying each predictive technique, including detailed examples. - A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report. - Exercises to learn the techniques |
| data analysis macbook excel: 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. |
| data analysis macbook excel: Excel 2016 Bible John Walkenbach, 2015-10-09 The complete guide to Excel 2016, from Mr. Spreadsheet himself Whether you are just starting out or an Excel novice, the Excel 2016 Bible is your comprehensive, go-to guide for all your Excel 2016 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities by expert author and Excel Guru John Walkenbach to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2016 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2016's new features and tools Customize downloadable templates and worksheets Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2016 Bible has you covered with complete coverage and clear expert guidance. |
| data analysis macbook excel: Digital Photography Simplified Rob Sheppard, 2008-12-03 Are you new to digital cameras? Does new technology make you nervous? Relax! You're holding in your hands the easiest guide ever to digital photography - a book that skips the long-winded explanations and shows you how things work. All you have to do is open the book and discover just how easy it is to get up to speed. * Set up your camera and learn program modes * Understand good composition and exposure * Experiment with lenses and focal length * Download and organize your images * Fine-tune your photos with Photoshop(r) Elements * Select paper and printers to make quality prints * Simplify It sidebars offer real-world advice * Succinct explanations walk you through step by step * Full-color screen shots demonstrate each task * Self-contained, two-page lessons make learning a snap |
| data analysis macbook excel: Creating and Verifying Data Sets with Excel Robert E. McGrath, 2014-01-21 Accurate data entry and analysis can be deceptively labor-intensive and time-consuming. Creating and Verifying Data Sets with Excel is a focused, easy-to-read guide that gives readers the wherewithal to make use of a remarkable set of data tools tucked within Excel—tools most researchers are entirely unaware of. Robert E. McGrath’s book is the first to focus exclusively on Excel as a data entry system. It incorporates a number of learning tools such as screenshots, text boxes that summarize key points, examples from across the social sciences, tips for creating professional-looking tables, and questions at the end of each chapter. Providing practical strategies to improve and ease the processes of data entry, creation and analysis, this step-by-step guide is a brief, but invaluable resource for both students and researchers. |
| data analysis macbook excel: 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 |
| data analysis macbook excel: Teach Yourself VISUALLY Flash CS4 Professional Keith Butters, 2009-04-20 As the industry standard for creating lively Web animations, Flash allows you to develop animation content or turn existing graphics into dynamic Web page animations—the CS4 release guarantees a world of new and thrilling possibilities If you are a beginner-to-intermediate level Flash user, this book will get you up and running fast as you dive into the tasks of building animation sequences and using ActionScript to create interactive Web page components Contains 150 useful and interesting Flash tasks presented in full color that demonstrates how easy it can be to design rich and dynamic content for any Web site |
| data analysis macbook excel: Teach Yourself VISUALLY Windows Home Server Paul McFedries, 2008-01-29 A guide to Microsoft Windows home server covers such topics as networking computers, setting up user accounts, using Windows home server storage, sharing files, working with digital media, making a remote connection, and working with computer backups. |
| data analysis macbook excel: Teach Yourself VISUALLY HTML and CSS Mike Wooldridge, Linda Wooldridge, 2016-10-26 Are you a visual learner? Do you prefer instructions that show you how to do something - and skip the long-winded explanations? If so, then this book is for you. Open it up and you'll find clear, step-by-step screen shots that show you how to tackle more than 175 tasks involving HTML and CSS. Each task-based spread covers a single technique, sure to help you get up and running with HTML and CSS in no time. You'll learn to: View HTML code in a browser Add and format text Prepare images for the Web Insert links to other pages Control layout with style sheets Add JavaScript to a Web page Helpful sidebars offer practical tips and tricks Succinct explanations walk you through step by step Full-color screen shots demonstrate each task Two-page lessons break big topics into bite-sized modules |
| data analysis macbook excel: Excel 2022 Pro 100 + PivotTables, Charts & Reports Dr. Isaac Gottlieb, 2022-11-04 Learn Everything about Excel Charts, PivotTables, Dashboards and Master Analytic Techniques for Decision Making DESCRIPTION Excel's charts, graphs, and reports are beneficial, so it's time to use them to your advantage. Learn how to execute the most innovative analysis on your preferred data using PivotTables, PivotCharts, What-if-Analysis, descriptive statistics, correlations, histograms, sparklines, animated charts, dashboards, trendlines, and more than 100 other charts and graphs. The book includes the following: ● Try and practice new Excel 2022 Charts and Reports in your Excel 2019, Excel 2021 and Office 365 editions. ● Learn with easy-to-read, step-by-step instructions and screenshots. ● Learn to illustrate your data in a way that is readily digestible at a glance. ● Figure out how to make beautiful infographics that reflect your company's personality or culture. ● Learn the ins and outs of making and editing expert PivotTables and PivotCharts. ● Master PivotTables and PivotCharts to construct dynamic dashboards. ● Utilize Excel's What-If analysis to check your assumptions and theories. ● Create Sensitivity-Analysis tables to check the quality of your decision-making tools. ● Create summaries, cross-tabs, filtering, and other visualizations. ● Conduct in-depth statistical analysis in Excel with minimal effort. This book's thorough instructions on Excel charts will improve readers' skills in making the most innovative and visually appealing reports. You will be able to make dynamic, eye-catching dashboards once you complete reading this book. WHO THIS BOOK IS FOR No matter what your professional or academic status is, if you often engage in data analysis, summary creation, and report writing, this book is for you. You'll be able to generate relatively strong reports and infographics from your data, thereby allowing you to make more well-informed decisions. There is no need for you to be an Excel expert to use this book. TABLE OF CONTENTS Part I 1. Selecting Various Charts and Graphs 2. Chart Elements, Styles, and Analysis 3. Custom Charts, Data Filtering, and Formatting 4. Animations, Sparklines, and Conditional Formatting Part II 5. Speed Up with PivotTables 6. Preparing and Labeling PivotTable Source Data 7. Create, Calculate, and Format PivotTables 8. Sort, Filter, and Group PivotTables 9. PivotTables Calculations, Formulas, and Functions 10. PivotCharts 11. PivotTable Slicers and Timelines 12. PivotTable Dashboards 13. Charts and PivotTable Case Studies Part III 14. Descriptive Statistics, Correlation, and Histograms 15. Goal Seek and Sensitivity Analysis |
| data analysis macbook excel: Microsoft Office 2004 for Mac OS X Steve Schwartz, 2005 If you're like many people, you wouldn't dream of turning on your computer without also instantly (or almost instantly) launching at least one of the applications included in Microsoft Office. This task-based guide recognizes that and gets down to business fast, taking you step-by-step through all of the key features of the Microsoft Office 2004 suite for Mac OS X: Word 2004, Excel 2004, PowerPoint 2004, Entourage 2004and MSN Messenger Version 4.0. If you're a beginning user, you ll appreciate the friendly, visual approach to all of Office s word processing, spreadsheet, presentation, calendaring, and email features. And if you're an Office veteran, you ll relish the coverage of Office 2004's newest features (many of them exclusive to Macs): Compatibility Reports, which identify and correct discrepancies between different versions of Office documents (including Mac and Windows versions); Word's Notebook Layout View; Excel's Page Layout View; and much more. |
| data analysis macbook excel: Teach Yourself VISUALLY Mac OS X Leopard Lynette Kent, 2008-02-13 Do you prefer instructions that show you how instead of telling you why? This book is packed with easy, visual directions and full-color screen shots that show you how to tackle more than 150 tasks with Mac OS X Leopard, including adding applications to the Dock, color-coding files and folders, viewing windows in Exposé, using the QuickTime player, storing files on your iPod, creating your own Web widgets, and more. Succinct explanations walk you through step by step. |
| data analysis macbook excel: Excel Tables Zack Barresse, Kevin Jones, 2014-08-01 Creating tables in Excel allows for easier formatting and reporting, but the new syntax that it implies can be intimidating to the uninitiated. In this guide, one of the developers of the official Microsoft Excel 2013 templates—all of which employ tables—helps introduce readers to the multiple benefits of tables. The book begins by explaining what tables are, how to create them, and how they can be used in reporting before moving on to slightly more advanced topics, including slicers and filtering, working with VBA macros, and using tables in the Excel web app. Novice Excel users and experts alike will find relevant, useful, and authoritative information in this one-of-a-kind resource. |
| data analysis macbook excel: Proceedings of The 7th MAC 2016 group of authors, 2016-05-24 Proceedings of The 7th MAC 2016 - The 7th Multidisciplinary Academic Conference in Prague 2016, Czech Republic |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
