Maxtrain.com - [email protected] - 513-322-8888 - 866-595-6863

MS-20779

Analyzing Data with Excel

Description

Analyzing Data with Excel

 

The main purpose of the Analyzing Data with Excel 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.

 

 

 

 

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.

What is Power BI?

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Whether your data is a simple Excel spreadsheet, or a collection of data from different data sources, Power BI lets you easily connect to your data sources, visualize (or discover) what’s important, and share that with anyone or everyone you want.

 

Dashboards

A Power BI dashboard is a single page, often called a canvas, that uses visualizations to tell a story. Because it is limited to one page, a well-designed dashboard contains only the most-important elements of that story.

The visualizations you see on the dashboard are called tiles and are pinned to the dashboard by report designers. In most cases, selecting a tile takes you to the report page where the visualization was created.

 

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.

 

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.
  • Basic knowledge of data analytics equivalent to having attended course 10994.

 

Audience

 

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.

 

Starting From

$1615.50

$1795.00 List Price

3 Days Course

Class Dates

Early Bird Saving
$1615.50
Live Classroom
Remote Live

This class runs from 09:00 AM to 04:30 PM EDT

Software Assurance
MAX Educ. Savings
Categories: ,
0
Connecting
Please wait...
Send a message

Sorry, we aren't online at the moment. Leave your message and we'll respond to you as soon as we're back in the office!

Your name
* Email
* How can we help?
    Start Chat Now

    Hello and welcome!

    I'm here if you have any questions.

    * Your name
    * How can we help?
    We're online!
    Feedback

    Help us help you better! Feel free to leave us any additional feedback.

    How do you rate our support?
      Loading ...