Analyzing And Visualizing Data With Microsoft Excel

Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts.

70-779 Analyzing and Visualizing Data with Microsoft Excel

Candidates for this course should have a strong understanding of how to use Microsoft Excel to perform data analysis.

Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts.

Candidates may include BI professionals, data analysts, and other roles responsible for analyzing data with Excel.

Who should take this exam?

Candidates for this exam should have a strong understanding of how to use Microsoft Excel to perform data analysis. Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts. Candidates may include BI professionals, data analysts, and other roles responsible for analyzing data with Excel.

Course Content

Consume And Transform Data By Using Microsoft Excel (30 – 35%)

  • Import from data sources
  • Connect to and import from databases, files, and folders; connect to Microsoft SQL Azure, Big Data, SQL Server Analysis Services (SSAS), and Power Query; import supported file types; import from other Excel workbooks; link to data from other sources
  • Perform data transformations
  • Design and implement basic and advanced transformations, apply business rules, change data format to support visualization, filter data, format data
  • Cleanse data
  • Manage incomplete data; handle data received as a report; remove unnecessary rows, columns, and data; remove repeating headers

Model Data(35 – 40%)

  • Create and optimize data models
  • Manage data relationships, optimize models for reporting, manually enter data, perform Get & Transform, create automatic relationships, create manual relationships
  • Create calculated columns, measures, and tables
  • Create DAX queries, create DAX formulas, create Excel formulas
  • Create performance KPIs
  • Calculate the actual value, calculate the target value, calculate actual to target values
  • Create hierarchies
  • Create date hierarchies, create business hierarchies, resolve hierarchy issues

Visualize  Data (30 – 35%)

  • Create and manage Pivot Tables
  • Format PivotTables and PivotCharts, format calculated measures, filter data, group and summarize data
  • Create and manage PivotCharts
  • Select a chart type, format calculated measures, filter data; group and summarize data, use slicers
  • Interact with Power BI
  • Import Excel data from Power BI, manipulate Excel data in Power BI
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