In diesem Kurs werden die verschiedenen Methoden Best Practices erläutert, die den geschäftlichen und technischen Anforderungen für die Modellierung, Visualisierung und Analyse von Daten mit Power BI entsprechen. Der Kurs zeigt, wie auf Daten aus einer Reihe von Datenquellen zugegriffen wird und wie diese verarbeitet werden, einschließlich relationaler und nicht relationaler Quellen. Darüber hinaus wird in diesem Kurs auch erläutert, wie Sie Berichte und Dashboards für die Freigabe und Verteilung von Inhalten verwalten und bereitstellen.

Kursinhalt

  • Get Started with Microsoft Data Analytics
  • Prepare Data in Power BI
  • Clean, Transform, and Load Data in Power BI
  • Design a Data Model in Power BI
  • Create Model Calculations using DAX in Power BI
  • Optimize Model Performance in Power BI
  • Create Reports in Power BI
  • Create Dashboards in Power BI
  • Enhance reports for usability and storytelling in Power BI
  • Perform Advanced Analytics in Power BI
  • Manage Datasets in Power BI
  • Create and Manage Workspaces in Power BI

E-Book Symbol Die originalen Microsoft-Kursunterlagen werden Ihnen online zur Verfügung gestellt.

Zielgruppe

Die Zielgruppe für diesen Kurs sind Datenprofis und Business Intelligence-Experten, die lernen möchten, wie man akkurate Datenanalysen mit Power BI drchführen kann. Dieser Kurs richtet sich auch an Personen, die Berichte entwickeln, die Daten aus Datenplattformtechnologien visualisieren, die sowohl in der Cloud als auch lokal vorhanden sind.

Voraussetzungen

Erfolgreiche Data Analysts benötigen für diese Rolle Erfahrung im Arbeiten mit Daten in der Cloud.

Dies gilt insbesondere in folgenden Fällen:

  • Verständnis der wichtigsten Datenbankkonzepte
  • Kenntnisse zur Arbeit mit relationalen Daten in der Cloud
  • Kenntnisse zur Arbeit mit nicht relationalen Daten in der Cloud
  • Kenntnisse zu Datenanalyse- und Visualisierungskonzepten

Sie können die Voraussetzungen erfüllen und einen besseren Einblick in die Arbeit mit Daten in Azure erlangen, indem Sie Microsoft Azure Data Fundamentals abschließen, bevor Sie an diesem Kurs teil nehmen.

Module 1: Get Started with Microsoft Data Analytics
 
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lessons
Data Analytics and Microsoft
Getting Started with Power BI
 
Lab : Getting Started in Power BI Desktop
Getting Started
 
After completing this module, students will be able to:
Explore the different roles in data
Identify the tasks that are performed by a data analyst
Describe the Power BI landscape of products and services
Use the Power BI service
 
Module 2: Prepare Data in Power BI
 
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons
Get data from various data sources
 
Lab : Preparing Data in Power BI Desktop
Prepare Data
 
After completing this module, students will be able to:
Identify and retrieve data from different data sources
Understand the connection methods and their performance implications
Use Microsoft Dataverse
Connect to a data flow
 
Module 3: Clean, Transform, and Load Data in Power BI
 
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lessons
Data shaping
Enhance the data structure
Data Profiling
 
Lab : Transforming and Loading Data in Power BI Desktop
Loading Data
 
After completing this module, students will be able to:
Apply data shape transformations
Enhance the structure of the data
Profile and examine the data
 
Module 4: Design a Data Model in Power BI
 
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lessons
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
 
Lab : Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
 
Lab : Advanced Data Modeling in Power BI Desktop
Configure many-to-many relationships
Enforce row-level security
 
After completing this module, students will be able to:
Understand the basics of data modeling
Define relationships and their cardinality
Implement Dimensions and Hierarchies
Create histograms and rankings
 
Module 5: Create Model Calculations using DAX in Power BI
 
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lessons
Introduction to DAX
DAX context
Advanced DAX
 
Lab : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
Use Time Intelligence functions
 
Lab : Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Create measures
 
After completing this module, students will be able to:
Understand DAX
Use DAX for simple formulas and expressions
Create calculated tables and measures
Build simple measures
Work with Time Intelligence and Key Performance Indicators
 
6: Optimize Model Performance in Power BI
 
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lessons
Optimze the model for performance
Optimize DirectQuery Models
Create and manage Aggregations
 
After completing this module, students will be able to:
Understand the importance of variables
Enhance the data model
Optimize the storage model
Implement aggregations
 
Module 7: Create Reports in Power BI
 
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lessons
Design a report
Enhance the report
 
Lab : Designing a report in Power BI Desktop
Create a live connection in Power BI Desktop
Design a report
Configure visual fields and format properties
 
Lab : Enhancing reports with interaction and formatting in Power BI Desktop
Create and configure Sync Slicers
Create a drillthrough page
Apply conditional formatting
Create and use Bookmarks
 
After completing this module, students will be able to:
Design a report page layout
Select and add effective visualizations
Add basic report functionality
Add report navigation and interactions
Improve report performance
Design for accessibility
 
Module 8: Create Dashboards in Power BI
 
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lessons
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
 
Lab : Creating a Dashboard in Power BI Service
Create a Dashboard
Pin visuals to a Dashboard
Configure a Dashboard tile alert
Use Q&A to create a dashboard tile
 
After completing this module, students will be able to:
Create a Dashboard
Understand real-time Dashboards
Enhance Dashboard usability
 
Module 9: Enhance reports for usability and storytelling in Power BI
 
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
Lessons
Paginated report overview
Create Paginated reports
 
Lab : Creating a Paginated report in Power BI Desktop
Use Power BI Report Builder
Design a multi-page report layout
Define a data source
Define a dataset
Create a report parameter
Export a report to PDF
 
After completing this module, students will be able to:
Explain paginated reports
Create a paginated report
Create and configure a data source and dataset
Work with charts and tables
Publish a report
 
Module 10: Perform Advanced Analytics in Power BI
 
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
Lessons
Advanced Analytics
Data Insights through AI visuals
 
Lab : Data Analysis in Power BI Desktop
Create animated scatter charts
Use the visual to forecast values
Work with Decomposition Tree visual
Work with the Key Influencers visual
 
After completing this module, students will be able to:
Explore statistical summary
Use the Analyze feature
Identify outliers in data
Conduct time-series analysis
Use the AI visuals
Use the Advanced Analytics custom visual
 
Module 11: Manage Datasets in Power BI
 
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
Lessons
Parameters
Datasets
Security in Power BI
 
After completing this module, students will be able to:
Create and work with parameters
Manage datasets
Configure dataset refresh
Troubleshoot gateway connectivity
Understand the aspects of Power BI security
Configure row-level security roles and group memberships
 
Module 12: Create and Manage Workspaces in Power BI
 
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lessons
Creating Workspaces
Sharing and Managing Assets
 
Lab : Publishing and Sharing Power BI Content
Map security principals to dataset roles
Share a dashboard
Publish an App
 
After completing this module, students will be able to:
Create and manage a workspace
Understand workspace collaboration
Monitor workspace usage and performance
Distribute an App

Classroom Training

Bevorzugen Sie die klassische Trainingsmethode? Ein Kurs in einem unserer Training Center, mit einem kompetenten Trainer und dem direkten Austausch zwischen allen Teilnehmern? Dann buchen Sie einen der Classroom Training Termine!

Hybrid Training

Hybrid Training bedeutet, dass zusätzliche Online-Teilnehmer an einem Präsenzkurs teilnehmen können. Die Dynamik eines realen Kurses bleibt erhalten, wovon besonders auch die Online-Teilnehmer profitieren. Als Online-Teilnehmer eines Hybrid-Kurses nutzen Sie eine Collaboration-Plattform wie WebEx Training Center oder Saba Meeting. Dazu wird nur ein PC mit Browser und Internet-Anschluss benötigt, ein Headset und idealerweise eine Webcam. Im Kursraum setzen wir speziell entwickelte und angepasste hochwertige Audio- und Videotechnik ein. Sie sorgt dafür, dass die Kommunikation zwischen allen Beteiligten angenehm und störungsfrei funktioniert.

Online Training

Möchten Sie einen Kurs online besuchen? Zu diesem Kursthema bieten wir Ihnen Online-Kurstermine an. Als Teilnehmer benötigen Sie dazu einen PC mit Internet-Anschluss (mindestens 1 Mbit/s), ein Headset, falls Sie per VoIP arbeiten möchten und optional eine Kamera. Weitere Informationen und technische Empfehlungen finden Sie hier.

Inhouse-Schulung

Benötigen Sie einen maßgeschneiderten Kurs für Ihr Team? Neben unserem Standard-Angebot bieten wir Ihnen an, Kurse speziell nach Ihren Anforderungen zu gestalten. Gerne beraten wir Sie hierzu und erstellen Ihnen ein individuelles Angebot.
Inhouse-Schulung jetzt anfragen >>>
PDF SymbolDie gesamte Beschreibung dieses Kurses mit Terminen und Preisen zum Download als PDF.

In diesem Kurs werden die verschiedenen Methoden Best Practices erläutert, die den geschäftlichen und technischen Anforderungen für die Modellierung, Visualisierung und Analyse von Daten mit Power BI entsprechen. Der Kurs zeigt, wie auf Daten aus einer Reihe von Datenquellen zugegriffen wird und wie diese verarbeitet werden, einschließlich relationaler und nicht relationaler Quellen. Darüber hinaus wird in diesem Kurs auch erläutert, wie Sie Berichte und Dashboards für die Freigabe und Verteilung von Inhalten verwalten und bereitstellen.

Kursinhalt

  • Get Started with Microsoft Data Analytics
  • Prepare Data in Power BI
  • Clean, Transform, and Load Data in Power BI
  • Design a Data Model in Power BI
  • Create Model Calculations using DAX in Power BI
  • Optimize Model Performance in Power BI
  • Create Reports in Power BI
  • Create Dashboards in Power BI
  • Enhance reports for usability and storytelling in Power BI
  • Perform Advanced Analytics in Power BI
  • Manage Datasets in Power BI
  • Create and Manage Workspaces in Power BI

E-Book Symbol Die originalen Microsoft-Kursunterlagen werden Ihnen online zur Verfügung gestellt.

Zielgruppe

Die Zielgruppe für diesen Kurs sind Datenprofis und Business Intelligence-Experten, die lernen möchten, wie man akkurate Datenanalysen mit Power BI drchführen kann. Dieser Kurs richtet sich auch an Personen, die Berichte entwickeln, die Daten aus Datenplattformtechnologien visualisieren, die sowohl in der Cloud als auch lokal vorhanden sind.

Voraussetzungen

Erfolgreiche Data Analysts benötigen für diese Rolle Erfahrung im Arbeiten mit Daten in der Cloud.

Dies gilt insbesondere in folgenden Fällen:

  • Verständnis der wichtigsten Datenbankkonzepte
  • Kenntnisse zur Arbeit mit relationalen Daten in der Cloud
  • Kenntnisse zur Arbeit mit nicht relationalen Daten in der Cloud
  • Kenntnisse zu Datenanalyse- und Visualisierungskonzepten

Sie können die Voraussetzungen erfüllen und einen besseren Einblick in die Arbeit mit Daten in Azure erlangen, indem Sie Microsoft Azure Data Fundamentals abschließen, bevor Sie an diesem Kurs teil nehmen.

Module 1: Get Started with Microsoft Data Analytics
 
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lessons
Data Analytics and Microsoft
Getting Started with Power BI
 
Lab : Getting Started in Power BI Desktop
Getting Started
 
After completing this module, students will be able to:
Explore the different roles in data
Identify the tasks that are performed by a data analyst
Describe the Power BI landscape of products and services
Use the Power BI service
 
Module 2: Prepare Data in Power BI
 
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons
Get data from various data sources
 
Lab : Preparing Data in Power BI Desktop
Prepare Data
 
After completing this module, students will be able to:
Identify and retrieve data from different data sources
Understand the connection methods and their performance implications
Use Microsoft Dataverse
Connect to a data flow
 
Module 3: Clean, Transform, and Load Data in Power BI
 
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lessons
Data shaping
Enhance the data structure
Data Profiling
 
Lab : Transforming and Loading Data in Power BI Desktop
Loading Data
 
After completing this module, students will be able to:
Apply data shape transformations
Enhance the structure of the data
Profile and examine the data
 
Module 4: Design a Data Model in Power BI
 
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lessons
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
 
Lab : Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
 
Lab : Advanced Data Modeling in Power BI Desktop
Configure many-to-many relationships
Enforce row-level security
 
After completing this module, students will be able to:
Understand the basics of data modeling
Define relationships and their cardinality
Implement Dimensions and Hierarchies
Create histograms and rankings
 
Module 5: Create Model Calculations using DAX in Power BI
 
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lessons
Introduction to DAX
DAX context
Advanced DAX
 
Lab : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
Use Time Intelligence functions
 
Lab : Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Create measures
 
After completing this module, students will be able to:
Understand DAX
Use DAX for simple formulas and expressions
Create calculated tables and measures
Build simple measures
Work with Time Intelligence and Key Performance Indicators
 
6: Optimize Model Performance in Power BI
 
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lessons
Optimze the model for performance
Optimize DirectQuery Models
Create and manage Aggregations
 
After completing this module, students will be able to:
Understand the importance of variables
Enhance the data model
Optimize the storage model
Implement aggregations
 
Module 7: Create Reports in Power BI
 
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lessons
Design a report
Enhance the report
 
Lab : Designing a report in Power BI Desktop
Create a live connection in Power BI Desktop
Design a report
Configure visual fields and format properties
 
Lab : Enhancing reports with interaction and formatting in Power BI Desktop
Create and configure Sync Slicers
Create a drillthrough page
Apply conditional formatting
Create and use Bookmarks
 
After completing this module, students will be able to:
Design a report page layout
Select and add effective visualizations
Add basic report functionality
Add report navigation and interactions
Improve report performance
Design for accessibility
 
Module 8: Create Dashboards in Power BI
 
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lessons
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
 
Lab : Creating a Dashboard in Power BI Service
Create a Dashboard
Pin visuals to a Dashboard
Configure a Dashboard tile alert
Use Q&A to create a dashboard tile
 
After completing this module, students will be able to:
Create a Dashboard
Understand real-time Dashboards
Enhance Dashboard usability
 
Module 9: Enhance reports for usability and storytelling in Power BI
 
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
Lessons
Paginated report overview
Create Paginated reports
 
Lab : Creating a Paginated report in Power BI Desktop
Use Power BI Report Builder
Design a multi-page report layout
Define a data source
Define a dataset
Create a report parameter
Export a report to PDF
 
After completing this module, students will be able to:
Explain paginated reports
Create a paginated report
Create and configure a data source and dataset
Work with charts and tables
Publish a report
 
Module 10: Perform Advanced Analytics in Power BI
 
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
Lessons
Advanced Analytics
Data Insights through AI visuals
 
Lab : Data Analysis in Power BI Desktop
Create animated scatter charts
Use the visual to forecast values
Work with Decomposition Tree visual
Work with the Key Influencers visual
 
After completing this module, students will be able to:
Explore statistical summary
Use the Analyze feature
Identify outliers in data
Conduct time-series analysis
Use the AI visuals
Use the Advanced Analytics custom visual
 
Module 11: Manage Datasets in Power BI
 
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
Lessons
Parameters
Datasets
Security in Power BI
 
After completing this module, students will be able to:
Create and work with parameters
Manage datasets
Configure dataset refresh
Troubleshoot gateway connectivity
Understand the aspects of Power BI security
Configure row-level security roles and group memberships
 
Module 12: Create and Manage Workspaces in Power BI
 
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lessons
Creating Workspaces
Sharing and Managing Assets
 
Lab : Publishing and Sharing Power BI Content
Map security principals to dataset roles
Share a dashboard
Publish an App
 
After completing this module, students will be able to:
Create and manage a workspace
Understand workspace collaboration
Monitor workspace usage and performance
Distribute an App

Classroom Training

Bevorzugen Sie die klassische Trainingsmethode? Ein Kurs in einem unserer Training Center, mit einem kompetenten Trainer und dem direkten Austausch zwischen allen Teilnehmern? Dann buchen Sie einen der Classroom Training Termine!

Hybrid Training

Hybrid Training bedeutet, dass zusätzliche Online-Teilnehmer an einem Präsenzkurs teilnehmen können. Die Dynamik eines realen Kurses bleibt erhalten, wovon besonders auch die Online-Teilnehmer profitieren. Als Online-Teilnehmer eines Hybrid-Kurses nutzen Sie eine Collaboration-Plattform wie WebEx Training Center oder Saba Meeting. Dazu wird nur ein PC mit Browser und Internet-Anschluss benötigt, ein Headset und idealerweise eine Webcam. Im Kursraum setzen wir speziell entwickelte und angepasste hochwertige Audio- und Videotechnik ein. Sie sorgt dafür, dass die Kommunikation zwischen allen Beteiligten angenehm und störungsfrei funktioniert.

Online Training

Möchten Sie einen Kurs online besuchen? Zu diesem Kursthema bieten wir Ihnen Online-Kurstermine an. Als Teilnehmer benötigen Sie dazu einen PC mit Internet-Anschluss (mindestens 1 Mbit/s), ein Headset, falls Sie per VoIP arbeiten möchten und optional eine Kamera. Weitere Informationen und technische Empfehlungen finden Sie hier.

Inhouse-Schulung

Benötigen Sie einen maßgeschneiderten Kurs für Ihr Team? Neben unserem Standard-Angebot bieten wir Ihnen an, Kurse speziell nach Ihren Anforderungen zu gestalten. Gerne beraten wir Sie hierzu und erstellen Ihnen ein individuelles Angebot.
Inhouse-Schulung jetzt anfragen >>>

PDF SymbolDie gesamte Beschreibung dieses Kurses mit Terminen und Preisen zum Download als PDF.