Explore data analysis and visualization in Excel, the cloud benefits of Power BI, and Power Pivot, pivot tables, and tools previously known as Power Query.
What you’ll learn
- How to gather and transform data from multiple sources.
- How to discover and combine data in data mash ups
- About creating data models
- Exploration, analysis and visualization of data
Course Syllabus
Week 1
- Setup the lab environment by installing Office applications.
- Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data.
- Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.
Week 2
- Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table.
- Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data.
- Create a mash-up between data from text-files and data from a SQL database.
Week 3
- Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions.
- Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.
Week 4
- Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons.
- Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI.
- Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.
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Pursue a Verified Certificate to highlight the knowledge and skills you gain ($49)
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