Note: PL-300T00: Power BI Data Analyst is the replacement course for DA-100T00: Analyzing Data with Power BI which is scheduled for retiring in March 31, 2022.
This PL-300 Microsoft Power BI Data Analyst training course will help you learn the diverse methods and most promising practices in line with technical and business requirements for analyzing, modeling, and visualizing data with Microsoft Power BI. This training also helps you understand how to process and access data from data sources such as relational and non-relational data.
This Data Analyst training course also helps you understand how to implement policies and security standards across the Microsoft Power BI range, including groups and datasets. Candidates will also learn to deploy and manage dashboards and reports for content distribution and sharing. Finally, this training also discusses creating paginated reports within the Microsoft Power BI service and publicizing them to a workspace for inclusion within Microsoft Power BI.
The candidates for this training are data professionals and BI professionals, and those who want to comprehend how to perform data analysis with Power BI.
This training is also for candidates who want to design reports that visualize data from the data platform technology in the cloud and on-premises.
For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.
Lab: Getting Started in Power BI Desktop
Lab: Preparing Data in Power BI Desktop
Lab: Transforming and Loading Data in Power BI Desktop
Lab: Data Modeling in Power BI Desktop
Lab: Advanced Data Modeling in Power BI Desktop
Lab: Advanced DAX in Power BI Desktop
Lab: Introduction to DAX in Power BI Desktop
Lab: Designing a report in Power BI Desktop
Lab: Enhancing reports with interaction and formatting in Power BI Desktop
Lab: Creating a Dashboard in Power BI Service
Lab: Creating a Paginated report in Power BI Desktop
Lab: Data Analysis in Power BI Desktop
Lab: Publishing and Sharing Power BI Content