Managing Data Using Excel

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Managing Data Using Excel

Author : Mark Gardener
Publisher : Pelagic Publishing Ltd
ISBN 13 : 1784270296
Total Pages : 327 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis Managing Data Using Excel by : Mark Gardener

Download or read book Managing Data Using Excel written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2015-04-20 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Managing Data Using Excel

Author : Mark Gardener
Publisher : Pelagic Publishing Ltd
ISBN 13 : 1784270091
Total Pages : 376 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis Managing Data Using Excel by : Mark Gardener

Download or read book Managing Data Using Excel written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2015-03-16 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Beginning Excel, First Edition

Author : Barbara Lave
Publisher :
ISBN 13 : 9781636350356
Total Pages : pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Beginning Excel, First Edition by : Barbara Lave

Download or read book Beginning Excel, First Edition written by Barbara Lave and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Managing Data with Microsoft Excel

Author : Conrad George Carlberg
Publisher : Que Publishing
ISBN 13 : 9780789731005
Total Pages : 386 pages
Book Rating : 4.7/5 (31 download)

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Book Synopsis Managing Data with Microsoft Excel by : Conrad George Carlberg

Download or read book Managing Data with Microsoft Excel written by Conrad George Carlberg and published by Que Publishing. This book was released on 2004 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title provides key data management information, focusing on efficient and effective data management.

Analyzing Business Data with Excel

Author : Gerald Knight
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596553463
Total Pages : 265 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Analyzing Business Data with Excel by : Gerald Knight

Download or read book Analyzing Business Data with Excel written by Gerald Knight and published by "O'Reilly Media, Inc.". This book was released on 2006-01-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet. Analyzing Business Data with Excel shows you how to solve real-world business problems by taking Excel's data analysis features to the max. Rather than focusing on individual Excel functions and features, the book keys directly on the needs of business users. Most of the chapters start with a business problem or question, and then show you how to create pointed spreadsheets that address common data analysis issues. Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics. After introducing some necessary general tools, it quickly moves into more specific problem areas, such as the following: Statistics Pivot tables Workload forecasting Modeling Measuring quality Monitoring complex systems Queuing Optimizing Importing data If you feel as though you're getting shortchanged by your overall application of Excel, Analyzing Business Data with Excel is just the antidote. It addresses the growing Excel data analysis market head on. Accountants, managers, analysts, engineers, and supervisors-one and all-will learn how to turn Excel functionality into actual solutions for the business problems that confront them.

Excel as Your Database

Author : Paul Cornell
Publisher : Apress
ISBN 13 : 1430203544
Total Pages : 250 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Excel as Your Database by : Paul Cornell

Download or read book Excel as Your Database written by Paul Cornell and published by Apress. This book was released on 2007-04-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows beginning users how to manage their data using one of the world’s most popular programs - Excel — without investing time and money in complex databases such as Access. We’ve written and organized the book for readers who know something about Excel but nothing about databases. We provide quick start solutions, step-by-step exercises, try-it-out sections, troubleshooting, and best practices solutions.

Applied Statistics for Business and Management using Microsoft Excel

Author : Linda Herkenhoff
Publisher : Springer Science & Business Media
ISBN 13 : 1461484235
Total Pages : 426 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Statistics for Business and Management using Microsoft Excel by : Linda Herkenhoff

Download or read book Applied Statistics for Business and Management using Microsoft Excel written by Linda Herkenhoff and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

Data Analysis Using SQL and Excel

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

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

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

Business Data Analysis Using Excel

Author : David Whigham
Publisher : Oxford University Press
ISBN 13 : 0199296286
Total Pages : 311 pages
Book Rating : 4.1/5 (992 download)

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Book Synopsis Business Data Analysis Using Excel by : David Whigham

Download or read book Business Data Analysis Using Excel written by David Whigham and published by Oxford University Press. This book was released on 2007-01-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking a thematic approach to the use of Excel spreadsheets in introductory business data analysis, this text has been designed to explain the overall nature of what is to be achieved and also instruction in how it is to be done. The learning approach is highly interactive and enables students to develop an understanding of the power of Excel in allowing both analysis of business data sets and in the flexible preparation of graphs, charts and tables for inclusion in reports and essays. The text is supported by an online resource centre with self marking exercises that can be used by instructors for formative and summative assessment, and a series of PowerPoint files containing all of the illustrated worksheets and figures.

Managing Data with Excel

Author : Conrad George Carlberg
Publisher : Que Pub
ISBN 13 : 9780789703859
Total Pages : 476 pages
Book Rating : 4.7/5 (38 download)

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Book Synopsis Managing Data with Excel by : Conrad George Carlberg

Download or read book Managing Data with Excel written by Conrad George Carlberg and published by Que Pub. This book was released on 1996 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers techniques for maximizing data handling capabilities

Using Microsoft Excel for Social Research

Author : Charlotte Brookfield
Publisher : SAGE
ISBN 13 : 1529753228
Total Pages : 206 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Using Microsoft Excel for Social Research by : Charlotte Brookfield

Download or read book Using Microsoft Excel for Social Research written by Charlotte Brookfield and published by SAGE. This book was released on 2021-01-20 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel.

Excel Tables

Author : Zack Barresse
Publisher : Tickling Keys, Inc.
ISBN 13 : 1615473408
Total Pages : 171 pages
Book Rating : 4.6/5 (154 download)

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Book Synopsis Excel Tables by : Zack Barresse

Download or read book Excel Tables written by Zack Barresse and published by Tickling Keys, Inc.. This book was released on 2014-08-01 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analyzing Data with Power BI and Power Pivot for Excel

Author : Alberto Ferrari
Publisher : Microsoft Press
ISBN 13 : 1509302816
Total Pages : 439 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis Analyzing Data with Power BI and Power Pivot for Excel by : Alberto Ferrari

Download or read book Analyzing Data with Power BI and Power Pivot for Excel written by Alberto Ferrari and published by Microsoft Press. This book was released on 2017-04-28 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data

Managing Data with Microsoft Excel. Business Solutions

Author : Edmund T. Emmer
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (744 download)

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Book Synopsis Managing Data with Microsoft Excel. Business Solutions by : Edmund T. Emmer

Download or read book Managing Data with Microsoft Excel. Business Solutions written by Edmund T. Emmer and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Even experienced Excel users have never learned how to manage data efficiently, and there are few books that provide this information for people who use Excel to do their jobs. Within Excel, efficient management includes designing the layout of data on the worksheet and knowing which functions to use to take advantage of that layout. When users need data that's maintained elsewhere (e.g., a database with G/L information or HR management software) they frequently resort to copying from the source and pasting to an Excel worksheet. There are more effective ways to move data. This book provides advice on using Excel's data management to get the results readers want. This is the only book that focuses on managing data in Excel. Covers Excel 97 - 2003. The Business Solution series was created to provide professionals with books that are focused on a specific use or application of a software product. They don't want general software information, but need specific features and functions related to their particular productivity use. This series is for those who need to go farther with the software to specifically solve complex applications and uses.; They want a book that addresses their immediate needs, and is likely to answer any additional questions they might have in the future.

Data Visualization with Excel Dashboards and Reports

Author : Dick Kusleika
Publisher : John Wiley & Sons
ISBN 13 : 1119698731
Total Pages : 352 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Data Visualization with Excel Dashboards and Reports by : Dick Kusleika

Download or read book Data Visualization with Excel Dashboards and Reports written by Dick Kusleika and published by John Wiley & Sons. This book was released on 2021-02-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to synthesize data into a story, and then present that story in the most impactful way. Microsoft shows its recognition of this with Excel. In Excel, there is a major focus on business intelligence and visualization. Data Visualization with Excel Dashboards and Reports fills the gap between handling data and synthesizing data into meaningful reports. This title will show readers how to think about their data in ways other than columns and rows. Most Excel books do a nice job discussing the individual functions and tools that can be used to create an "Excel Report". Titles on Excel charts, Excel pivot tables, and other books that focus on "Tips and Tricks" are useful in their own right; however they don't hit the mark for most data analysts. The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality. They don't offer these topics in the broader picture by showing how to present and report data in the most effective way. What are the most meaningful ways to show trending? How do you show relationships in data? When is showing variances more valuable than showing actual data values? How do you deal with outliers? How do you bucket data in the most meaningful way? How do you show impossible amounts of data without inundating your audience? In Data Visualization with Excel Reports and Dashboards, readers will get answers to all of these questions. Part technical manual, part analytical guidebook; this title will help Excel users go from reporting data with simple tables full of dull numbers, to creating hi-impact reports and dashboards that will wow management both visually and substantively. This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports and dashboards. After reading this book, the reader will be able to: Analyze large amounts of data and report their data in a meaningful way Get better visibility into data from different perspectives Quickly slice data into various views on the fly Automate redundant reporting and analyses Create impressive dashboards and What-If analyses Understand the fundamentals of effective visualization Visualize performance comparisons Visualize changes and trends over time

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

Author : Samuel E. Buttrey
Publisher : John Wiley & Sons
ISBN 13 : 1119080029
Total Pages : 310 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by : Samuel E. Buttrey

Download or read book A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R written by Samuel E. Buttrey and published by John Wiley & Sons. This book was released on 2017-12-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more. The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process Provides expert guidance on how to document the processes described so that they are reproducible Written by seasoned professionals, it provides both introductory and advanced techniques Features case studies with supporting data and R code, hosted on a companion website A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.

Health Services Research and Analytics Using Excel

Author : Nalin Johri, PhD, MPH
Publisher : Springer Publishing Company
ISBN 13 : 0826150284
Total Pages : 252 pages
Book Rating : 4.8/5 (261 download)

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Book Synopsis Health Services Research and Analytics Using Excel by : Nalin Johri, PhD, MPH

Download or read book Health Services Research and Analytics Using Excel written by Nalin Johri, PhD, MPH and published by Springer Publishing Company. This book was released on 2020-02-01 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your all-in-one resource for quantitative, qualitative, and spatial analyses in Excel® using current real-world healthcare datasets. Health Services Research and Analytics Using Excel® is a practical resource for graduate and advanced undergraduate students in programs studying healthcare administration, public health, and social work as well as public health workers and healthcare managers entering or working in the field. This book provides one integrated, application-oriented resource for common quantitative, qualitative, and spatial analyses using only Excel. With an easy-to-follow presentation of qualitative and quantitative data, students can foster a balanced decision-making approach to financial data, patient statistical data and utilization information, population health data, and quality metrics while cultivating analytical skills that are necessary in a data-driven healthcare world. Whereas Excel is typically considered limited to quantitative application, this book expands into other Excel applications based on spatial analysis and data visualization represented through 3D Maps as well as text analysis using the free add-in in Excel. Chapters cover the important methods and statistical analysis tools that a practitioner will face when navigating and analyzing data in the public domain or from internal data collection at their health services organization. Topics covered include importing and working with data in Excel; identifying, categorizing, and presenting data; setting bounds and hypothesis testing; testing the mean; checking for patterns; data visualization and spatial analysis; interpreting variance; text analysis; and much more. A concise overview of research design also provides helpful background on how to gather and measure useful data prior to analyzing in Excel. Because Excel is the most common data analysis software used in the workplace setting, all case examples, exercises, and tutorials are provided with the latest updates to the Excel software from Office365 ProPlus® and newer versions, including all important “Add-ins” such as 3D Maps, MeaningCloud, and Power Pivots, among others. With numerous practice problems and over 100 step-by-step videos, Health Services Research and Analytics Using Excel® is an extremely practical tool for students and health service professionals who must know how to work with data, how to analyze it, and how to use it to improve outcomes unique to healthcare settings. Key Features: Provides a competency-based analytical approach to health services research using Excel Includes applications of spatial analysis and data visualization tools based on 3D Maps in Excel Lists select sources of useful national healthcare data with descriptions and website information Chapters contain case examples and practice problems unique to health services All figures and videos are applicable to Office365 ProPlus Excel and newer versions Contains over 100 step-by-step videos of Excel applications covered in the chapters and provides concise video tutorials demonstrating solutions to all end-of-chapter practice problems Robust Instructor ancillary package that includes Instructor’s Manual, PowerPoints, and Test Bank