-
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
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.
Die 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
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.
Die gesamte Beschreibung dieses Kurses mit Terminen und Preisen zum Download als PDF.
Hybrid Training (Classroom + Online kombiniert)