Analyzing Data with Excel (MS-20779)

This course is intended for students who are experienced with analyzing data with Excel and who wish to add BI techniques.

Virtual Classroom

Learning Style
Intermediate

Difficulty
3 Days

Course Duration
3 Days

SATV Value

Upcoming Dates


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This course is intended for students who are experienced with analyzing data with Excel and who wish to add BI techniques.

Course Information

About this course:

Microsoft Excel is a spreadsheet developed by Microsoft for Windows, macOS, Android and iOS. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications. 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.

The average salary for a Solutions Developer with Microsoft Azure skill is $81,714 per year.

Course Objective:

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.

Audience:

This course is intended for:

Students who are experienced with analyzing data with Excel and who wish to add BI techniques.
SQL Server report creators who are interested in alternative methods of presenting data.

Prerequisites:

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.

Suggested prerequisites courses:

SQL Database for Beginners

Course Outline

Virtual Instructed-Led Outline

Module 1: Data Analysis in Excel

This module looks at the classic Excel dashboard and at ways to extend it.

Lessons

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

After completing this module, students will be able to:

Describe classic data analysis with Excel
Describe Excel pivot tables
Describe the limitations of classic data analysis with Excel

Module 2: The Excel Data Model

This module looks at the classic Excel data model and at ways to extend it.

Lessons

Using an Excel Data Model
DAX

Lab : Explore an Excel Data Model

Create Calculated Columns
Format Data Model Data
Create Measures
Analyze the Data

After completing this module, students will be able to:

Describe an Excel data model
View data within an Excel data table
Describe DAX

Module 3: Importing Data from Files

This module looks at pre-formatting and importing CSV files.

Lessons

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

After completing this module, students will be able to:

Import data into excel.
Shape and transform data.
Load data.

Module 4: Importing Data from Databases

This module looks at how to import data into Excel from a SQL Server database.

Lessons

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

After completing this module, students will be able to:

Identify available data sources.
Preview, shape, and transform data.
Explain table relationships and hierarchies.
Load data from various sources.

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.

Lessons

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

After completing this module, students will be able to:

Import data from Excel reports.
Transform Excel report data.

Module 6: Creating and Formatting Measures

This module describes how to create and format measures.

Lessons

DAX
Measures
Advanced DAX Functions

Lab : Creating Measures using Advanced DAX Functions

Last year comparison
Year to date
Market Share

After completing this module, students will be able to:

Explain what DAX is and when to use it.
Describe a measure.
Use some of the advanced functions within DAX.

Module 7: Visualizing Data in Excel

This module describes how to visualize data in Excel.

Lessons

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

After completing this module, students will be able to:

Create and refine a pivot chart.
Describe cube functions and when to use them.
Describe a number of charts for use with cube functions.

Module 8: Using Excel with Power BI

This module describes how to use Excel with Power BI.

Lessons

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

After completing this module, students will be able to:

Describe Power Bi and the various versions available.
Upload Excel data to Power BI.
Describe the Power BI App.

More Information

More Information
Brand	Microsoft
Lab Access	Yes
Technology	Microsoft
Learning Style	Virtual Classroom
Difficulty	Intermediate
Course Duration	3 Days
Language	English
SATV Value	3 Days
VPA Eligible	VPA Eligible