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Analyzing Data with Power BI (70-778)

  • jan 21
    mandag 21/01/2019 - onsdag 23/01/2019
    09:00 - 16:00 Aarhus
    • Kr.13,195.00 ekskl. MOMS
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  • jan 21
    mandag 21/01/2019 - onsdag 23/01/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • feb 18
    mandag 18/02/2019 - onsdag 20/02/2019
    09:00 - 16:00 Hillerød
    • Kr.13,195.00 ekskl. MOMS
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  • mar 18
    mandag 18/03/2019 - onsdag 20/03/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • apr 15
    mandag 15/04/2019 - onsdag 17/04/2019
    09:00 - 16:00 Hillerød
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • maj 13
    mandag 13/05/2019 - onsdag 15/05/2019
    09:00 - 16:00 Aarhus
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • maj 13
    mandag 13/05/2019 - onsdag 15/05/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • jun 11
    tirsdag 11/06/2019 - torsdag 13/06/2019
    09:00 - 16:00 Hillerød
    • Kr.13,195.00 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
  • Med i prisen hører Practice Test
  • Du har i alt adgang til din kursus-pc i 3 uger
  • 6 vouchers / 600 Quattros

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

Practice Tests

Med i prisen hører Practice Test

Remote adgang

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

QQ

Pris for QBS medlemmer

6 vouchers / 600 Quattros

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 a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Audience profile
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:

  • Perform Power BI desktop data transformation.
  • Describe Power BI desktop modelling.
  • Create a Power BI desktop visualization.
  • Implement the Power BI service.
  • Describe how to connect to Excel data.
  • Describe how to collaborate with Power BI data.
  • Connect directly to data stores.
  • Describe the Power BI developer API.
  • Describe the Power BI mobile app.

The 70-778 exam is expected to be releashed around september 2017.

Course Outline for Analyzing Data with Power BI

Module 1: Introduction to Self-Service BI Solutions
Introduces business intelligence (BI) and how to self-serve with BI.

Lessons are:
- Introduction to business intelligence
- Introduction to data analysis
- Introduction to data visualization
- Overview of self-service BI
- Considerations for self-service BI
- Microsoft tools for self-service BI

Lab :
- Exploring an Enterprise BI solution
- Viewing reports
- Creating a Power BI report
- Creating a Power BI dashboard 

After completing this module, students will be able to:
- Describe the trends in BI
- Describe the process of data analysis in Power BI.
- Use the key visualizations in Power BI.
- Describe the rationale for self-service BI.
- Describe considerations for self-service BI.
- Understand how you can use Microsoft products to implement a BI solution. 

Module 2: Introducing Power BI
This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

Lessons are
- Power BI
- The Power BI service 

Lab :
- Creating a Power BI dashboard
- Connecting to Power BI data
- Create a Power BI dashboard 

After completing this module, students will be able to:

- Develop reports using the Power BI Desktop app.
- Use report items to create dashboards on the Power BI portal.
- Understand the components of the Power BI service including licensing and tenant management.

Module 3: Power BI
At the end of this module students will be able to explain the rationale and advantages of using Power BI.

Lessons are:
- Using Excel as a data source for Power BI
- The Power BI data model
- Using databases as a data source for Power BI
- The Power BI service 

Lab :
- Importing data into Power BI
- Importing Excel files into Power BI
- Viewing reports from Excel files 

After completing this module, students will be able to:
- Describe the data model and know how to optimize data within the model.
- Connect to Excel files and import data
- Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
- Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups. 

Module 4: Shaping and Combining Data
With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

Lessons are:
- Power BI desktop queries
- Shaping data
- Combining data

Lab :
- Shaping and combining data
- Shape power BI data
- Combine Power BI data 

After completing this module, students will be able to:

- Perform a range of query editing skills in Power BI
- Shape data, using formatting and transformations.
- Combine data together from tables in your dataset. 

Module 5: Modelling data
This module describes how to shape and enhance data.

Lessons are:
- Relationships
- DAX queries
- Calculations and measures 

Lab :
- Modelling Data
- Create relationships
- Calculations 

After completing this module, students will be able to:
- Describe relationships between data tables.
- Understand the DAX syntax, and use DAX functions to enhance your dataset.
- Create calculated columns, calculated tables and measures. 

 

Module 6: Interactive Data Visualizations
This module describes how to create and manage interactive data visualizations.

Lessons are:
- Creating Power BI reports
- Managing a Power BI solution 

Lab :
- Creating a Power BI report
- Connecting to Power BI data
- Building Power BI reports
- Creating a Power BI dashboard 

After completing this module, students will be able to:

- Use Power Bi desktop to create interactive data visualizations.
- Manage a power BI solution. 

Module 7: Direct Connectivity
This module describes various connectivity options using Power BI. 

Lessons are:
- Cloud data
- Connecting to analysis services 

Lab :
- Direct Connectivity
- Direct connectivity from Power BI desktop
- Direct connectivity from the Power BI service 

After completing this module, students will be able to:
- Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
- Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode. 

Module 8: Developer API
This module describes the developer API within Power BI.

Lessons are:
- The developer API
- Custom visuals 

Lab :
- Using the developer API
- Using custom visuals 

After completing this module, students will be able to:
- Describe the developer API.
- Use the developer API to create custom visuals. 

Module 9: Power BI mobile app
This module describes the Power BI mobile app.

Lessons are:
- The Power BI mobile app
- Using the Power BI mobile app
- Power BI embedded 

After completing this module, students will be able to:
- Describe the Power BI mobile app.
- Download and use the Power BI mobile app.
- Describe Power BI embedded and when you would want to use it.

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