Data Analysis In Plain English With Microsoft Excel PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Analysis In Plain English With Microsoft Excel PDF full book. Access full book title Data Analysis In Plain English With Microsoft Excel.
Author | : Harvey J. Brightman |
Publisher | : South Western Educational Publishing |
Total Pages | : 0 |
Release | : 1999 |
Genre | : Microsoft Excel (Computer file) |
ISBN | : 9780534526504 |
Download Data Analysis in Plain English with Microsoft Excel Book in PDF, ePub and Kindle
Harvey Brightman's accessible, easy-to-understand new book focuses on helping readers learn essential statistical concepts and data analysis. In an intuitive and non-mathematical writing style, Brightman uses actual business applications and covers practical insights in business problem solving using Microsoft Excel as the primary computational tool. His clear, to-the-point presentation gives students a 'map' for learning what data analysis techniques to use and when to use them. Brightman presents descriptive and inferential methods in sequential chapters, and introduces probability only as needed and then only on a very limited basis.
Author | : Harvey J. Brightman |
Publisher | : |
Total Pages | : |
Release | : 1999 |
Genre | : |
ISBN | : 9780534361884 |
Download Data Analysis in Plain English with Microsoft Excel Book in PDF, ePub and Kindle
Author | : Gordon S. Linoff |
Publisher | : John Wiley & Sons |
Total Pages | : 698 |
Release | : 2010-09-16 |
Genre | : Computers |
ISBN | : 0470952520 |
Download Data Analysis Using SQL and Excel Book in PDF, ePub and Kindle
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.
Author | : Conrad Carlberg |
Publisher | : Que Publishing |
Total Pages | : 585 |
Release | : 2017-07-13 |
Genre | : Business & Economics |
ISBN | : 013468382X |
Download Predictive Analytics Book in PDF, ePub and Kindle
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results
Author | : Wayne Winston |
Publisher | : Microsoft Press |
Total Pages | : 1490 |
Release | : 2019-03-28 |
Genre | : Computers |
ISBN | : 1509306080 |
Download Microsoft Excel 2019 Data Analysis and Business Modeling Book in PDF, ePub and Kindle
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
Author | : Michael Alexander |
Publisher | : John Wiley & Sons |
Total Pages | : 558 |
Release | : 2012-06-26 |
Genre | : Computers |
ISBN | : 1118079183 |
Download Microsoft Access 2007 Data Analysis Book in PDF, ePub and Kindle
Chart a course for more effective data analysis with Access 2007. With this resource, you’ll learn how Access 2007 offers powerful functionality that may be better suited to your data analysis needs. Learn to analyze large amounts of data in meaningful ways, quickly and easily slice it into various views, automate redundant analysis, and save time—all using Access. If you know a bit about table structures and formulas as well as data analysis, start thinking outside the chart.
Author | : Stephen L. Nelson |
Publisher | : For Dummies |
Total Pages | : 0 |
Release | : 2002-08-09 |
Genre | : Computers |
ISBN | : 9780764516610 |
Download Excel Data Analysis For Dummies Book in PDF, ePub and Kindle
So here’s a funny deal: You know how to use Excel. You know how to create simple workbooks. And how to print stuff. And you can even, with just a little bit of fiddling, create cool-looking charts. But sometimes you wish that you could do more with Excel, such as how to use Excel to really gain insights into information, the data, that you work with in your job. Using Excel for this kind of stuff is what Excel Data Analysis For Dummies is all about. This is a book that assumes that you want to use Excel to learn new stuff, discover new secrets, and gain new insights into the information you’re already working with in Excel. Ready to take Excel to the next level? This plain-English guide covers all of these concepts, and more, to ensure that you’re using Excel to its fullest capacity: Harnessing information in lists Querying external databases and Web pages tables Cleaning data with text functions Building and working with PivotTables Customizing PivotCharts Using the statistics functions Understanding Optimization Modeling If all this talk of statistics and advanced tools makes you light-headed, don’t worry. Excel Data Analysis For Dummies distills the most important fundamentals into everyday language. You’ll find just enough information to help you get your work done – without leaving you gasping for air in a sea of technobabble. It’d be a real shame if you didn’t at least know what bells and whistles Excel has to offer and the basic steps that you need to use them.
Author | : Paul McFedries |
Publisher | : John Wiley & Sons |
Total Pages | : 375 |
Release | : 2022-02-15 |
Genre | : Computers |
ISBN | : 1119844428 |
Download Excel Data Analysis For Dummies Book in PDF, ePub and Kindle
Turn jumbles of numbers into graphics, insights, and answers with Excel With Microsoft Excel, you can, well, excel at data analysis. And Excel Data Analysis For Dummies can help, with clear and easy explanations of the mountain of features for creating, visualizing, and analyzing data. PivotTables, charts, what-if analysis, statistical functions—it's all in here, with examples and ideas for Excel users of all skill levels. This latest edition covers the most recent updates to Excel and Microsoft 365. You'll beef up your data skills and learn powerful techniques for turning numbers into knowledge. For students, researchers, and business professionals, Excel is the spreadsheet and data application of choice—and Dummies is the best choice for learning how to make those numbers sing. Learn how to use Excel's built-in data analysis features and write your own functions to explore patterns in your data Create striking charts and visualizations, and discover multiple ways to tell the stories hidden in the numbers Clean up large datasets and identify statistical operations that will answer your questions Perform financial calculations, database operations, and more—without leaving Excel Excel Data Analysis For Dummies is the go-to resource for Excel users who are looking for better ways to crunch the numbers.
Author | : 24 Excel MVPs |
Publisher | : Tickling Keys, Inc. |
Total Pages | : 326 |
Release | : 2020-04-01 |
Genre | : Computers |
ISBN | : 1615471537 |
Download Excel Insights Book in PDF, ePub and Kindle
Learn favorite techniques from this group of twenty-two Excel MVPs. The Excel MVPs are friends and competitors who each pulled out their favorite tricks to impress you and their fellow MVPs.
Author | : George Mount |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 238 |
Release | : 2024-04-26 |
Genre | : Computers |
ISBN | : 1098148789 |
Download Modern Data Analytics in Excel Book in PDF, ePub and Kindle
If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting