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.
Associated Certification:
Get started with Microsoft data analytics
Businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.
Prepare data for analysis with Power BI
You’ll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You’ll also learn to profile, clean, and load data into Power BI before you model your data.
Model data with Power BI
Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.
Build Power BI visuals and reports
Turn data into interactive, actionable insights with Power BI Desktop visuals and reports.
Manage workspaces and datasets in Power BI
In this Learning Path, you’ll learn how to publish Power BI reports to the Power BI service. You’ll also learn how to create workspaces, manage related items, and data refreshes for up-to-date reports. Additionally, implement row-level security to restrict user access to relevant data without the need for multiple reports.
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.
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.
Associated Certification:
Get started with Microsoft data analytics
Businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.
Prepare data for analysis with Power BI
You’ll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You’ll also learn to profile, clean, and load data into Power BI before you model your data.
Model data with Power BI
Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.
Build Power BI visuals and reports
Turn data into interactive, actionable insights with Power BI Desktop visuals and reports.
Manage workspaces and datasets in Power BI
In this Learning Path, you’ll learn how to publish Power BI reports to the Power BI service. You’ll also learn how to create workspaces, manage related items, and data refreshes for up-to-date reports. Additionally, implement row-level security to restrict user access to relevant data without the need for multiple reports.
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.