M20779: Analyzing Data with Excel

3 Day Course
Hands On
Official Microsoft Curriculum
Code M20779

Book Now - 1 Delivery Method Available:

Classroom Virtual Classroom Private Group - Virtual Self-Paced Online


This course is intended for both novice and experienced programmers who have a minimum of three months programming experience and have basic Windows navigation skills.

This course is intended for anyone responsible for analyzing data with Excel. The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.


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.

Additional Information

Please note: for Attend from Anywhere customers an additional screen is required. The additional screen must have a minimum screen size of 19 inch and minimum resolution of 1280x1024, with the vertical resolution (1024) being the most critical.

Training Partners

We work with the following best of breed training partners using our bulk buying power to bring you a wider range of dates, locations and prices.


Collapse all

Data Analysis in Excel (8 topics)

  • Classic Data Analysis with Excel
  • Excel Pivot Tables
  • Limitations of Classic Data Analysis
  • Lab: Building a Classic Excel Dashboard
  • Filtering and Formatting Data
  • Building a Pivot Table
  • Building a Pivot Chart
  • Building a Dashboard

The Excel Data Model (7 topics)

  • Using an Excel Data Model
  • DAX
  • Lab: Explore an Excel Data Model
  • Create Calculated Columns
  • Format Data Model Data
  • Create Measures
  • Analyze the Data

Importing Data from Files (6 topics)

  • 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

Importing Data from Databases (8 topics)

  • 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

Importing Data from Excel Reports (6 topics)

  • 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

Creating and Formatting Measures (7 topics)

  • DAX
  • Measures
  • Advanced DAX Functions
  • Lab: Creating Measures using Advanced DAX Functions
  • Last year comparison
  • Year to date
  • Market Share

Visualizing Data in Excel (7 topics)

  • 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

Using Excel with Power BI (6 topics)

  • 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


Before attending this course, students must have:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Good Knowledge of Excel spreadsheets, functions, and charts.
  • Working knowledge of relational databases.

Prerequisite Certifications

Scheduled Dates

Please select from the dates below to make an enquiry or booking.


Different pricing structures are available including special offers. These include early bird, late availability, multi-place, corporate volume and self-funding rates. Please arrange a discussion with a training advisor to discover your most cost effective option.

Code Location Duration Price Sep Oct Nov Dec Jan Feb
Later scheduled dates may be available for this course.

Course PDF


Share this Course


Recommend this Course