Analyzing Data with Excel (20779)

Analyzing Data with Excel – 20779

Duration: 3 Days
About this course
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.

Audience profile
This 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.

At course completion
After 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.

Before 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.

Course Outline

Module 1: Data Analysis in Excel

This module looks at the classic Excel dashboard and at ways to extend it.
• Classic Data Analysis with Excel
• Excel Pivot Tables
• Limitations of Classic Data Analysis
Lab: Building a Classic Excel Dashboard
• Formatting Data
• Building a Pivot Table
• Adding pivot charts and a slicer

Module 2: The Excel Data Model

This module looks at the classic Excel data model and at ways to extend it.
• Using an Excel Data Model
Lab: Explore an Excel Data Model
• Create Calculated Columns
• Format Data Model Data
• Create Measures

Module 3: Importing Data from Files

This module looks at pre-formatting and importing CSV files.
• Importing Data into Excel
• Shaping and Transforming Data
• Loading Data
Lab: Importing Data from a CSV File
• Import and Transform Data from a CSV File
• Add Data from a Folder

Module 4: Importing Data from Databases

This module looks at how to import data into Excel from a SQL Server database.
• Available Data Sources
• Previewing, Shaping, and Transforming Data
• Table Relationships and Hierarchies
• Loading Data
Lab: Import Data from Multiple Sources
• Import Data from SQL Server
• Import Data from a CSV File
• Create a Data Table

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.
• Importing Data from Excel Reports
• Transforming Excel report Data
Lab: Importing Data from a Report
• Import Data from Excel
• Transform the Excel Data
• Load the Data into an Excel Data Model

Module 6: Creating and Formatting Measures

This module describes how to create and format measures.
• Measures
• Advanced DAX Functions
Lab: Creating Measures using Advanced DAX Functions
• Last year comparison
• Year to date
• Market Share

Module 7: Visualizing Data in Excel

This module describes how to visualize data in Excel.
• Pivot Charts
• Cube Functions
• Charts for Cube Functions
Lab: Data Visualization in Excel
• Create a Tabular Report
• Create a Pivot Chart
• Add Slicers to Charts

Module 8: Using Excel with Power BI

This module describes how to use Excel with Power BI.
• Power BI
• Uploading Excel Data to Power BI
• Power BI Mobile App
Lab: Creating a Power BI Dashboard with Excel
• Uploading Excel Data
• Creating a Power BI Dashboard
• Using Power BI desktop