Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don't take full advantage of Excel's data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you'll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool.
\"Put the power of Excel to work and excel at data analysis! Most businesses are drowning in data, and making sense of it all is critical. Excel is a powerful data analysis tool, and this books shows you how to use it and become a data deciphering expert. You'll learn to organize data in wo...
Changes in the source data can result in different data being available for analysis. For example, you may want to conveniently switch from a test database to a production database. You can update a PivotTable or a PivotChart with new data that is similar to the original data connection information by redefining the source data. If the data is substantially different with many new or additional fields, it may be easier to create a new PivotTable or PivotChart.
Businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.
Learn to crunch huge amounts of data with PowerPivot and Power Query Do you have a ton of data you need to make sense of Microsoft's Excel program can handle amazingly large data sets, but you'll need to get familiar with PowerPivot and Power Query to get started. And that's where Dummies comes in. With step-by-step instructions--accompanied by ample screenshots--Excel PowerPivot & Power Query For Dummies will teach you how to save time, simplify your processes, and enhance your data analysis and reporting. Use Power Query to discover, connect to, and import your organization's data. Then use PowerPivot to model it in Excel. You'll also learn to: Make use of databases to store large amounts of data Use custom functions to extend and enhance Power Query Add the functionality of formulas to PowerPivot and publish data to SharePoint If you're expected to wrangle, interpret, and report on large amounts of data, Excel PowerPivot & Power Query For Dummies gives you the tools you need to get up to speed quickly. From the Back Cover
Michael Alexander is a senior consultant at Slalom Consulting with more than 15 years' experience in data management and reporting. He is the author of more than a dozen books on business analysis using Microsoft Excel and has been named Microsoft Excel MVP for his contributions to the Excel community.
Data analysis is the process of cleansing, transforming, and analyzing raw data to obtain usable, relevant information that can assist businesses in making educated decisions. By giving relevant insights and data, which are commonly presented in charts, photos, tables, and graphs, the technique helps to lessen the risks associated with decision-making.
Data analytics encompasses not just data analysis, but also data collecting, organization, storage, and the tools and techniques used to delve deeper into data, as well as those used to present the findings, such as data visualization tools. On the other hand, data analysis is concerned with the process of transforming raw data into meaningful statistics, information, and explanations.
Data analysis is a valuable skill that can help you make better judgments. Microsoft Excel is one of the most used data analysis programs, with the built-in pivot tables being the most popular analytic tool.
When conducting data analysis, the formula =CONCATENATE is one of the simplest to understand but most powerful. Text, numbers, dates, and other data from numerous cells can be combined into a single cell.
Even though =RANK is an old Excel function, it is nevertheless useful for data analysis. =RANK is a quick way to show how values in a dataset rank in ascending or descending order. RANK is being utilised in this case to determine which clients order the most stuff.
You may need to sort and/or filter your data to prepare for data analysis and/or to display specific critical data. You can perform the same thing in Excel using the simple sorting and filtering options. Sort and Filter are the most used Excel functions. Within columns, sorting can be done in ascending or descending order. Lists can be sorted by colour, reversed, or randomly generated. Filters are used to display data that meets requirements. Number and Text Filters, Date Filters, Advanced Filter, Data Form, Remove Duplicates, Outlining Data, and Subtotal are some of the options.
Excel Lookup Functions allow you to search through a large amount of data for data values that fit a set of criteria. Vlookup and Hlookup are two different types of lookup engines. Analysts use Vlookup and Hlookup to discover a value in a database and retrieve other values that correspond to that value. Data analysts frequently use it to integrate and consolidate useful data from several excel sheets.
You can extract critical data from a large dataset using pivot tables. This form of data analysis is the most practical. You can drag fields, sort, filter, and adjust the summary calculation after a Pivot Table has been inserted. Pivot Tables can also be made in two dimensions. The functions of Group Pivot Table Items, Multi-level Pivot Table, Frequency Distribution, Pivot Chart, Slicers, Update Pivot Table, Calculated Field/Item, and GetPivotData are all essential.
Want to take the guesswork out of analyzing data Let Excel do all the work for you! Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don't take full advantage of Excel's data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you'll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool. This easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, tips and tricks for using Excel's statistical and financial functions, how to visually present your data so it makes sense, and information about the fancier, more advanced tools for those who have mastered the basics! Once you're up to speed, you can stop worrying about how to make use of all that data you have on your hands and get down to the business of discovering meaningful, actionable insights for your business or organization. Excel is the most popular business intelligence tool in the world, and the newest update Microsoft Excel 2016 features even more powerful features for data analysis and visualization. Users can slice and dice their data and create visual presentations that turn otherwise indecipherable reports into easy-to-digest presentations that can quickly and effectively illustrate the key insights you are seeking. * Fully updated to cover the latest updates and features of Excel 2016 * Learn useful details about statistics, analysis, and visual presentations for your data * Features coverage of database and statistics functions, descriptive statistics, inferential statistics, and optimization modeling with Solver * Helps anyone who needs insight into how to get things done with data that is unwieldy and difficult to understand With Excel Data Analysis For Dummies, 3rd Edition, you'll soon be quickly and easily performing key analyses that can drive organizational decisions and create competitive advantages. 59ce067264