Microsoft Power BI Data Analyst PL-300T00

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. 

The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Prerequisites:

• Successful Data Analysts start this role with experience of working with data in the cloud.
• Specifically:
• Understanding core data concepts.
• Knowledge of working with relational data in the cloud.
• Knowledge of working with non-relational data in the cloud.
• Knowledge of data analysis and visualization concepts.

Content Elements:

• Discover data analysis
• In this module, you will:
• Learn about the roles in data.
• Learn about the tasks of a data analyst.
• Get started building with Power BI
• In this module, you will:
• Learn how Power BI services and applications work together.
• Explore how Power BI can make your business more efficient.
• Learn how to create compelling visuals and reports.
• Get data in Power BI
• By the end of this module, you’ll be able to:
• Identify and connect to a data source
• Get data from a relational database, like Microsoft SQL Server
• Get data from a file, like Microsoft Excel
• Get data from applications
• Get data from Azure Analysis Services
• Select a storage mode
• Fix performance issues
• Resolve data import errors
• Clean, transform, and load data in Power BI
• By the end of this module, you’ll be able to:
• Resolve inconsistencies, unexpected or null values, and data quality issues.
• Apply user-friendly value replacements.
• Profile data so you can learn more about a specific column before using it.
• Evaluate and transform column data types.
• Apply data shape transformations to table structures.
• Combine queries.
• Apply user-friendly naming conventions to columns and queries.
• Edit M code in the Advanced Editor.
• Design a data model in Power BI
• In this module, you will:
• Create common date tables
• Configure many-to-many relationships
• Resolve circular relationships
• Design star schemas
• Introduction to creating measures using DAX in Power BI
• By the end of this module, you’ll be able to:
• Build quick measures.
• Create calculated columns.
• Use DAX to build measures.
• Discover how context affects DAX measures.
• Use the CALCULATE function to manipulate filters.
• Implement time intelligence by using DAX.
• Optimize a model for performance in Power BI
• By the end of this module, you will be able to:
• Review the performance of measures, relationships, and visuals.
• Use variables to improve performance and troubleshooting.
• Improve performance by reducing cardinality levels.
• Optimize DirectQuery models with table level storage.
• Create and manage aggregations.
• Work with Power BI visuals
• In this module, you will:
• Add visualization items to reports.
• Choose an effective visualization.
• Format and configure visualizations.
• Import a custom visual.
• Add an R or Python visual.
• Create a data-driven story with Power BI reports
• In this module, you will:
• Design a report layout.
• Add buttons, bookmarks, and selections.
• Design report navigation.
• Use basic interactions.
• Use advanced interactions and drillthrough.
• Configure conditional formatting.
• Apply slicing, filtering, and sorting.
• Publish and export reports.
• Comment on reports.
• Use Performance analyzer to tune reports.
• Optimize reports for mobile use.
• Create dashboards in Power BI
• In this module, you will:
• Set a mobile view.
• Add a theme to the visuals in your dashboard.
• Configure data classification.
• Add real-time dataset visuals to your dashboards.
• Pin a live report page to a dashboard.
• Perform analytics in Power BI
• In this module, you will:
• Explore statistical summary.
• Identify outliers with Power BI visuals.
• Group and bin data for analysis.
• Apply clustering techniques.
• Conduct time series analysis.
• Use the Analyze feature.
• Use advanced analytics custom visuals.
• Review Quick insights.
• Apply AI Insights.
• Work with AI visuals in Power BI
• In this module, you will:
• Use the Q&A visual.
• Find important factors with the Key influencers visual.
• Use the Decomposition Tree visual to break down a measure.
• Create and manage workspaces in Power BI
• In this module, you will:
• Distribute a report or dashboard.
• Monitor usage and performance.
• Recommend a development life cycle strategy.
• Troubleshoot data by viewing its lineage.
• Configure data protection.
• Manage datasets in Power BI
• In this module, you will:
• Create dynamic reports with parameters.
• Create what-if parameters.
• Use a Power BI gateway to connect to on-premises data sources.
• Configure a scheduled refresh for a dataset.
• Configure incremental refresh settings.
• Manage and promote datasets.
• Troubleshoot service connectivity.
• Boost performance with query caching (Premium).
• Implement row-level security
• In this module, you will:
• Configure row-level security by using a static method.
• Configure row-level security by using a dynamic method.