Excel' in Business Analytics
Author | : Andrew Goodnite |
Publisher | : |
Total Pages | : |
Release | : 2020-03-27 |
Genre | : |
ISBN | : 9781792424953 |
Download Excel' in Business Analytics Book in PDF, Epub and Kindle
Download Excel In Business Analytics full books in PDF, epub, and Kindle. Read online free Excel In Business Analytics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Andrew Goodnite |
Publisher | : |
Total Pages | : |
Release | : 2020-03-27 |
Genre | : |
ISBN | : 9781792424953 |
Author | : Andrew Goodnite |
Publisher | : |
Total Pages | : 0 |
Release | : 2022-12-08 |
Genre | : Business & Economics |
ISBN | : |
'Excel' in Business Analytics has been designed for aspiring business professionals who have an interest in learning the foundation of business analytics within Microsoft Excel. This book assumes no prior working knowledge of descriptive, predictive, or prescriptive analytics or even Microsoft Excel. From a learning perspective, 'Excel' In Business Analytics has been developed to support active learning. Thus, the text within the book has been intentionally kept to a minimum and was written in a lean manner with the purpose of quickly acclimating readers to the importance of each topic being presented. There are easy-to-understand definitions and easy-to-find information about equations and formulas that are featured within the examples and highlighted throughout each chapter. This edition is supported with 72 learning activity videos, which will provide more in-depth discussions about the topics featured within the manuscript. In addition, starting files are provided with the data necessary for you to work along with the videos to complete the activities presented. This hands-on approach will allow you to actively practice and further develop skills related to business analytics as you watch the videos at your own pace. Instructors adopting this book will have access to multiple choice questions, homework assignments, and exam problems. Those interested in adopting this book should contact Sean Skinner ([email protected]) at Kendall Hunt Publishing Company for more information.
Author | : Andrew Goodnite |
Publisher | : |
Total Pages | : 0 |
Release | : 2018-01-08 |
Genre | : Microsoft Excel (Computer file) |
ISBN | : 9781524948412 |
'Excel' in Business Analytics has been designed for aspiring business professionals who have an interest in learning the foundation of business analytics within Microsoft Excel. This book assumes no prior working knowledge of descriptive, predictive, or prescriptive analytics or even Microsoft Excel. From a learning perspective, 'Excel' in Business Analytics has been developed to support active learning. Thus, the text within the book has been intentionally kept to minimum. The text has been written in a lean manner with the purpose of quickly acclimating readers to the importance of each topic being presented, followed by easy to understand definitions and easy to find information about equations and formulas that are featured within the examples that are highlighted throughout each chapter. Currently, this edition is considered a preliminary version of our book. In the future, we plan to support this text with learning activity videos, which will provide more in depth discussions about the topics featured within the manuscript. In addition, we will provide students with starting files, which will allow students to actively practice and further develop skills related to business analytics as they watch the videos at their own pace. In addition to these starting and completed files associated with the learning activity videos, instructors adopting this book will have access to suggested homework assignments, and exam problems. These additional features will be provided when we release the first edition of 'Excel' for Business Analytics.--
Author | : Conrad George Carlberg |
Publisher | : Que Publishing |
Total Pages | : 510 |
Release | : 2002 |
Genre | : Business & Economics |
ISBN | : 9780789725523 |
Take control of the bottom line using expert techniques and Excel's powerful financial capabilities! Whether you own a small business or work for a large corporation; whether you are looking for help making financial and business decisions -- this book is for you. Business Analysis with Microsoft Excel, Second Editionprovides in-depth information that will maximize your use of the tools within Excel. Professional advice and guidance from an experienced author provide the answers to your most pressing questions.
Author | : Michael Alexander |
Publisher | : John Wiley & Sons |
Total Pages | : 385 |
Release | : 2014-05-05 |
Genre | : Computers |
ISBN | : 1118821521 |
Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process. Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web Details how you can use SQL Server’s built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms You’ll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.
Author | : Wayne Winston |
Publisher | : Microsoft Press |
Total Pages | : 1788 |
Release | : 2021-12-17 |
Genre | : Computers |
ISBN | : 0137613679 |
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
Author | : Conrad George Carlberg |
Publisher | : Que Publishing |
Total Pages | : 288 |
Release | : 2013 |
Genre | : Business & Economics |
ISBN | : 0789751682 |
Explains how to distil big data into manageable sets and use them to optimise business and investment decisions. Reveals techniques to improve a wide range of decisions, and use simple Excel charts to grasp the results. Includes downloadable Excel workbooks to adapt to your own requirements.
Author | : Danielle Stein Fairhurst |
Publisher | : John Wiley & Sons |
Total Pages | : 444 |
Release | : 2015-05-18 |
Genre | : Business & Economics |
ISBN | : 1119062462 |
This is a guide to building financial models for business proposals, to evaluate opportunities, or to craft financial reports. It covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors.
Author | : Gordon S. Linoff |
Publisher | : John Wiley & Sons |
Total Pages | : 698 |
Release | : 2010-09-16 |
Genre | : Computers |
ISBN | : 0470952520 |
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 | : Wayne Winston |
Publisher | : Pearson Education |
Total Pages | : 1167 |
Release | : 2014-01-15 |
Genre | : Business & Economics |
ISBN | : 0735681074 |
Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook. Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in