Beskrivelse

Dette kursus lærer dig at tilgå og behandle data fra flere datakilder, både relationelle og ikke-relationelle data. Ydermere lærer du at implementere sikkerhedsstandarder og politikker samt administrere datasæt og grupper i Power BI. På kurset gennemgås også, hvordan man administrerer, deployer og deler rapporter og interaktive dashboards. Endelig lærer kurset dig, hvordan man udarbejder paginerede rapporter samt, hvordan man publicerer dem på Power BI platformen. Der er meget nyt og relevant indhold på kurset sammenlignet med MS-778. Herunder er et udpluk af emner, som du kun får på dette opdaterede kursus:

• Data profiling
• Dybere indsigt i Data Model og hvad der skal optimeres efter
• Storage model
• Direct Query vs Import - Composite models
• Manage Aggregations
• Analytic Visuals
• Key Influencers
• Forecast
• Decomposition Tree
• Parameters
• Incremental Refresh - Supported in Power BI Pro Kurset giver dig indsigt i processen at bygge rapporter med:
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• data retrieval, transformationer
• data modellering, herunder DAX
• visualisering
• publishing af rapporter til workspaces i Power BI Servicen
• rettigheder
• apps Kurset indeholder også facetter i forhold til:
• data profiling
• performance optimering af datamodellen
• Incremental Refresh af datasæt
• Row Level Security.

Indhold

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
• Getting Started
• After completing this module, you 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
• Optimize performance
• Resolve data errors
• Lab : Preparing Data in Power BI Desktop
• Prepare Data
• After completing this module, you will be able to:
• Identify and retrieve data from different data sources
• Understand the connection methods and their performance implications
• Optimize query performance
• Resolve data import errors 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
• 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, you 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 Measures 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 : Introduction to DAX in Power BI Desktop
• Create calculated tables
• Create calculated columns
• Create measures
• Lab : Advanced DAX in Power BI Desktop
• Use the CALCULATE() function to manipulate filter context
• use Time Intelligence functions
• After completing this module, you 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 Module 6: Optimize Model Performance
• 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, you will be able to:
• Understand the importance of variables
• Enhance the data model
• Optimize the storage model
• Implement aggregations Module 7: Create Reports
• 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
• Create a live connection in Power BI Desktop
• Design a report
• Configure visual fields adn format properties
• Lab : Enhancing Power BI reports with interaction and formatting
• Create and configure Sync Slicers
• Create a drillthrough page
• Apply conditional formatting
• Create and use Bookmarks
• After completing this module, you 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 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 : Designing a report in Power BI Desktop - Part 1
• 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: Create Paginated Reports 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
• 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, you 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
• 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 teh visual to forecast values
• Work with Decomposition Tree visual
• Work with the Key Influencers visual
• After completing this module, you 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: Create and Manage Workspaces
• 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, you will be able to:
• Create and manage a workspace
• Understand workspace collaboration
• Monitor workspace usage and performance
• Distribute an App Module 12: 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
• After completing this module, you will be able to:
• Create and work with parameters
• Manage datasets
• Configure dataset refresh
• Troubleshoot gateway connectivity Module 13: Row-level security
• This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
• Lessons
• Security in Power BI
• After completing this module, you will be able to:
• Understand the aspects of Power BI security
• Configure row-level security roles and group memberships