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Analyzing and Visualizing Data with Microsoft Excel (70-779)

  • feb 11
    mandag 11/02/2019 - onsdag 13/02/2019
    09:00 - 16:00 Aarhus
    • Kr.15,895.00 ekskl. MOMS
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  • feb 11
    mandag 11/02/2019 - onsdag 13/02/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.15,895.00 ekskl. MOMS
    Ekskl. moms
  • mar 18
    mandag 18/03/2019 - onsdag 20/03/2019
    09:00 - 16:00 Hillerød
    • Kr.15,895.00 ekskl. MOMS
    Ekskl. moms
  • apr 01
    mandag 01/04/2019 - onsdag 03/04/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.15,895.00 ekskl. MOMS
    Ekskl. moms
  • maj 20
    mandag 20/05/2019 - onsdag 22/05/2019
    09:00 - 16:00 Hillerød
    • Kr.15,895.00 ekskl. MOMS
    Ekskl. moms
  • jun 24
    mandag 24/06/2019 - onsdag 26/06/2019
    09:00 - 16:00 Aarhus
    • Kr.15,895.00 ekskl. MOMS
    Ekskl. moms
  • jun 24
    mandag 24/06/2019 - onsdag 26/06/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.15,895.00 ekskl. MOMS
    Ekskl. moms
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Kursusinfo

  • Dette kursus varer 3 dage
  • Der medfølger kursusmateriale til dette kursus
  • Dette kursus koster 4 klip på dit klippekort.
  • Fuld forplejning (Morgenmad, frokost, kage, kaffe og sodavand ad libitum)
  • Fuld beståelsesgaranti er inkluderet i prisen - Læs mere her
  • Eksamen er inkluderet i prisen
  • Du har i alt adgang til din kursus-pc i 3 uger

Varighed

Dette kursus varer 3 dage

Materialer

Der medfølger kursusmateriale til dette kursus

Klip på klippekort

Dette kursus koster 4 klip på dit klippekort.

Forplejning

Fuld forplejning (Morgenmad, frokost, eftermiddagskage samt kaffe og sodavand ad libitum)

Garanti for beståelse

Fuld beståelsesgaranti er inkluderet i prisen - Læs mere her

Eksamen

Alle eksamensforsøg er inkluderet i prisen

Remote adgang

Du har i alt adgang til din kursus-pc i 3 uger

Microsoft Vouchers

3 vouchers + 4.950 kr. for Certificeringspakken.
Læs mere her

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.

Course details

 

Course 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

  • Filtering and Formatting Data
  • Building a Pivot Table
  • Building a Pivot Chart
  • Building a Dashboard

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

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.

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.

Course details

Course OutlineModule 1: Data Analysis in ExcelThis 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

  • Filtering and Formatting Data
  • Building a Pivot Table
  • Building a Pivot Chart
  • Building a Dashboard

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 ModelThis 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 FilesThis 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 DatabasesThis 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 ReportsThis 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 MeasuresThis 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 ExcelThis 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 BIThis 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

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.

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