The main purpose of the course is to give students 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.
- 3 months access to e-learning materials
- 3 months access to training labs
PrerequisitesBefore attending this course, students must have:
- 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.
Course outcomeAfter completing this course, students will be able to:
- Explore and extend a classic Excel dashboard.
- Explore and extend an Excel data model.
- Pre-format and import a .CSV file.
- Import data from a SQL Server database
- Import data from a report.
- Create measures using advanced DAX functions.
- Create data visualizations in Excel.
- Create a Power BI dashboard with Excel.
Who should attendThis course is intended for students 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.
- Module 1: Data Analysis in Excel
- Lab : Building a Classic Excel Dashboard
- Module 2: The Excel Data Model
- Lab : Explore an Excel Data Model
- Module 3: Importing Data from Files
- Lab : Importing Data from a CSV File
- Module 4: Importing Data from Databases
- Lab : Import Data from Multiple Sources
- Module 5: Importing Data from Excel Reports
- Lab : Importing Data from a Report
- Module 6: Creating and Formatting Measures
- Lab : Creating Measures using Advanced DAX Functions
- Module 7: Visualizing Data in Excel
- Lab : Data Visualization in Excel
- Module 8: Using Excel with Power BI
- Lab : Creating a Power BI Dashboard with Excel