The Analyzing and Visualizing Data with Microsoft Excel certification exam is an excellent way for business analysts, financial analysts, data analysts and other professionals who are working with large sets of data to validate their expertise in Microsoft Excel. It is also ideal for those who want to improve their spreadsheet skills and further their knowledge in data analysis and visualization techniques.
Reference: https://www.microsoft.com/en-us/learning/exam-70-779.aspx
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Microsoft 070-779 exam is designed to test your skills in analyzing and visualizing data using Microsoft Excel. 070-779 exam is intended for individuals who work with data in Excel and want to improve their ability to manipulate and analyze it. 070-779 exam requires a deep understanding of data analysis and visualization techniques, including the use of PivotTables, Power Pivot, and Power Query.
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Microsoft 070-779 is a professional certification exam that is designed to measure and validate the skills and knowledge of data analysts and business intelligence professionals in the area of analyzing and visualizing data with Microsoft Excel. 070-779 exam is intended for those who have a good understanding of how to use Excel for data analysis and visualization and want to gain recognition for their expertise, as well as those who are interested in enhancing their career prospects in the field of data analytics.
Microsoft 070-779 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Data | - Define relationships between tables - Create and manage data models using Power Pivot - Create calculated columns and measures using DAX |
| Topic 2: Publish and Share Data | - Publish Excel workbooks to Power BI or SharePoint - Manage and consume shared reports |
| Topic 3: Visualize Data | - Create PivotTables and PivotCharts - Design interactive dashboards in Excel - Apply filters, slicers, and conditional formatting |
| Topic 4: Consume and Transform Data | - Combine and append datasets - Clean, shape, and transform data - Get data from various sources using Excel and Power Query |
