Overview
This 3-day instructor-led course focuses on giving the participants the ability to add BI techniques to Excel data analysis. The course goes beyond the capabilities of tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI.
Prerequisites
Those who wish to take up this course should meet the following prerequisites:
- Basic knowledge of the Microsoft Windows operating system and its core functionality
- Working knowledge of relational databases
- Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals
- Basic knowledge of data analytics equivalent to having attended course 10994
Who Should Attend?
This course is intended for participants who are experienced with analyzing data with Excel and who wish to add BI techniques. The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.
Course Outline
- Classic Data Analysis with Excel
- Excel Pivot Tables
- Limitations of Classic Data Analysis
Lab: Building a Classic Excel Dashboard
- Using an Excel Data Model
- DAX
Lab: Explore an Excel Data Model
- Importing Data into Excel
- Shaping and Transforming Data
- Loading Data
Lab: Importing Data from a CSV File
- Available Data Sources
- Previewing, Shaping, and Transforming Data
- Table Relationships and Hierarchies
- Loading Data
Lab: Import Data from Multiple Sources
- Importing Data from Excel Reports
- Transforming the Excel Data
Lab: Importing Data from a Report
- DAX
- Measures
- Advanced DAX Functions
Lab: Creating Measures using Advanced DAX Functions
- Pivot Charts
- Cube Functions
- Charts for Cube Functions
Lab: Data Visualization in Excel
- Power BI
- Uploading Excel Data to Power BI
- Power BI Mobile App
Lab: Creating a Power BI Dashboard with Excel