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Microsoft Analyzing and Visualizing Data with Microsoft Excel - 070-779 dump torrent

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070-779 Guide Torrent
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel

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Microsoft 70-779 Exam Reference

Reference: https://www.microsoft.com/en-us/learning/exam-70-779.aspx

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Skills measured

  • Model Data (35-40%)
  • Consume and Transform Data by Using Microsoft Excel (30-35%)
  • Visualize Data (30-35%)

Exam 70-779: Analyzing and Visualizing Data with Microsoft Excel

This exam retired on January 31, 2021. For currently available options, please refer to the Browse Certifications and Exams page.

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.

Part of the requirements for: MCSA: BI Reporting

Download exam skills outline

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Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Model Data35-40%- Create and manage data models
  • 1. Create hierarchies and calculated columns
    • 2. Enable and use Power Pivot
      • 3. Define tables, columns, and relationships
        - Implement DAX calculations
        • 1. Create measures, KPIs, and calculated tables
          • 2. Use basic and advanced DAX functions
            • 3. Work with filter context and row context
              - Optimize model performance
              • 1. Set appropriate data types and indexing
                • 2. Reduce data size and cardinality
                  Consume and Transform Data by Using Microsoft Excel30-35%- Clean and transform data
                  • 1. Split, merge, unpivot, and append columns/tables
                    • 2. Remove duplicates, handle missing values
                      • 3. Change data types and format values
                        • 4. Apply query parameters and M language
                          - Manage query settings and load
                          • 1. Combine and append queries
                            • 2. Set load options and refresh properties
                              - Import data from multiple sources
                              • 1. Use Power Query to connect to data
                                • 2. Import from text, CSV, XML, JSON, web, databases
                                  Visualize Data30-35%- Create and manage PivotTables
                                  • 1. Group and sort data
                                    • 2. Design and configure PivotTables
                                      • 3. Apply filters, slicers, and timelines
                                        - Integrate with Power BI
                                        • 1. Refresh and share reports
                                          • 2. Publish Excel data/models to Power BI
                                            - Create and format PivotCharts and visuals
                                            • 1. Create interactive dashboards
                                              • 2. Select appropriate chart types
                                                • 3. Format charts and apply conditional formatting

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