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MASTERING EXCEL POWER PIVOT & POWER QUERY: Step-by-Step Practical Guide to Master Excel Power Pivot & Power Query in 7 Days or Less + Tips & Tricks on Business Intelligence, Data Analysis & Dashboard
Have you been working with massive amounts of data, maybe millions of rows, and need tools to evaluate it without taxing your laptop's processing power?
Are you seeking a simple and powerful approach to analyze, import, filter, query, report, and calculate data in Excel? Have you tried utilizing Excel's standard pivot table functionality to do these operations and been disappointed with the outcomes?
Do you want to go above Excel's limit on how much data you may evaluate at one time?
Do you want to change your data and record every step so you can go back and reuse it later?
Do you need help with leveraging Excel's extra features, such as tables, queries, and reports, for your data visualizations?
If you answered yes, then this book on Microsoft Excel Power Pivot and Power Query is the perfect option for you.
Microsoft Excel is a spreadsheet program that makes it simple to view, represent, and modify huge amounts of data in the workplace. External connections may be built to bring in data with the use of Power Pivot and Power Query. Before being loaded into the Editors of these tools, this data may be converted, modified, and cleaned up to any state. With the use of PivotTables and Pivot Charts, table linkages may be built among this data.
This guide will provide a good foundation for beginners and newcomers to Microsoft Excel's Power Pivot and Power Query Editors. A beginner's tour of the Editors of these programs, as well as the many techniques of importing and cleaning up your data, is included in this guide. Major features, filters, techniques, and loading options, as well as the tools, queries, and functions to achieve the best results for your data analysis, are all packed inside Excel Power Pivot and Power Query. With the lessons in this book, anybody without a background in data analysis or queries may produce remarkable Power Pivot and Power Query outcomes.
Here's a peek of what you'll find in this the Power Pivot Internal Data ModelActivating the Power Pivot RibbonLinking Excel Tables to Power PivotPreparing your Excel TablesAdding your Excel tables to the data modelCreating relationships between your Power Pivot TablesUsing Power Pivot data in reportingLoading data from other data sourcesLoading data from other relational database systemsRefreshing and managing external data connectionsEnhancing Power Pivot Data with Calculated ColumnsCreating your first calculated columnFormatting your calculated columnsReferencing calculated columns in other calculationsHiding calculated columns from end-usersUtilizing DAX to create Calculated ColumnsIdentifying DAX functions safe for calculated columnsBuilding DAX-driven calculated columnsMonth sorting in Power Pivot-driven Pivot TablesImporting data from the Azure databaseImporting data from ODBC connections to nonstandard databasesGetting data from other data systemsManaging data source settingsEditing data source settingsPerforming common transformation tasksRemoving duplicate recordsUnderstanding data type conversionsSpicing up custom columns with functionsAdding conditional logic to custom columnsUnderstanding the Merge FeatureUnderstanding the Power Query joinsMerging queries<
Are you seeking a simple and powerful approach to analyze, import, filter, query, report, and calculate data in Excel? Have you tried utilizing Excel's standard pivot table functionality to do these operations and been disappointed with the outcomes?
Do you want to go above Excel's limit on how much data you may evaluate at one time?
Do you want to change your data and record every step so you can go back and reuse it later?
Do you need help with leveraging Excel's extra features, such as tables, queries, and reports, for your data visualizations?
If you answered yes, then this book on Microsoft Excel Power Pivot and Power Query is the perfect option for you.
Microsoft Excel is a spreadsheet program that makes it simple to view, represent, and modify huge amounts of data in the workplace. External connections may be built to bring in data with the use of Power Pivot and Power Query. Before being loaded into the Editors of these tools, this data may be converted, modified, and cleaned up to any state. With the use of PivotTables and Pivot Charts, table linkages may be built among this data.
This guide will provide a good foundation for beginners and newcomers to Microsoft Excel's Power Pivot and Power Query Editors. A beginner's tour of the Editors of these programs, as well as the many techniques of importing and cleaning up your data, is included in this guide. Major features, filters, techniques, and loading options, as well as the tools, queries, and functions to achieve the best results for your data analysis, are all packed inside Excel Power Pivot and Power Query. With the lessons in this book, anybody without a background in data analysis or queries may produce remarkable Power Pivot and Power Query outcomes.
Here's a peek of what you'll find in this the Power Pivot Internal Data ModelActivating the Power Pivot RibbonLinking Excel Tables to Power PivotPreparing your Excel TablesAdding your Excel tables to the data modelCreating relationships between your Power Pivot TablesUsing Power Pivot data in reportingLoading data from other data sourcesLoading data from other relational database systemsRefreshing and managing external data connectionsEnhancing Power Pivot Data with Calculated ColumnsCreating your first calculated columnFormatting your calculated columnsReferencing calculated columns in other calculationsHiding calculated columns from end-usersUtilizing DAX to create Calculated ColumnsIdentifying DAX functions safe for calculated columnsBuilding DAX-driven calculated columnsMonth sorting in Power Pivot-driven Pivot TablesImporting data from the Azure databaseImporting data from ODBC connections to nonstandard databasesGetting data from other data systemsManaging data source settingsEditing data source settingsPerforming common transformation tasksRemoving duplicate recordsUnderstanding data type conversionsSpicing up custom columns with functionsAdding conditional logic to custom columnsUnderstanding the Merge FeatureUnderstanding the Power Query joinsMerging queries<
170 pages, Kindle Edition
Published February 23, 2022
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