Karlebovej 91, 3400 Hillerød | Krajbjergvej 3, 8541 Skødstrup
70 22 29 29
08:30 - 17:00

MCSA: BI Reporting (70-779 & 70-778)

Interesseret i dette kursus? Send os en forespørgsel.
Register your interest now

Kursusinfo

  • Dette kursus varer 6 dage
  • Der medfølger kursusmateriale til dette kursus
  • Dette kursus koster 8 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

Varighed

Dette kursus varer 6 dage

Materialer

Der medfølger kursusmateriale til dette kursus

Klip på klippekort

Dette kursus koster 8 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

Microsoft Vouchers

6 vouchers + 7.950 kr. for Certificeringspakken.
Læs mere her

Hos SkillsHouse har vi udviklet og sammensat en spændende kursuspakke, som sikrer dig din MCSA: BI Reporting certificering. Kursuspakken betyder, at du sparer tid i forhold til de traditionelle kurser, hvilket også betyder at du sparer næsten 10.000,- ved køb af kursuspakken. Undervisningen foregår via masser af hands-on og best practices og varetages af professionelle konsulenter og undervisere, som derved sikrer dig en bedre indlærring og brug af dine nye færdigheder. 

Kort fortalt:

- Du sparer ca. kr. 10.000,- ved køb af denne kursuspakke
- Du sparer 4 kursusdage
- Garanteret beståelse og alle de eksamensforsøg du skal bruge 
- Alt er inkluderet inkl. autoriseret Microsoft kursusmateriale
- Undervisningen foretages af Microsoft Certified Trainer (MCT)
- Fuld forplejning og selvfølgelig alle de colaer og Red Bull du kan drikke 🙂
- Undervisningen er fra 09.00 til 16.00

Microsoft MCSA: BI Reporting certificeringen består af 2 kurser og 2 tilhørende eksamener:

 

Course Outline for Analyzing Data with Power BI

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.


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.

 

Course Outline for Analyzing Data with Excel

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.

 

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.

 

Lignende kurser

MCSA SQL Server 2016 Database Administration (70-764 & 70-765) Skriv dig op som interesseret til dette kursus
Updating Your Skills to SQL Server 2017 (10998) Skriv dig op som interesseret til dette kursus
DEVELOPER TRAINING FOR APACHE SPARK Skriv dig op som interesseret til dette kursus
Artificial Intelligence Programmering 26 aug
Building REST Webservices 16 sep