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.
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.
By actively participating in this course, you will learn about the following:
Ingest, clean, and transform data.
Model data for performance and scalability.
Design and create reports for data analysis.
Apply and perform advanced report analytics.
Manage and share report assets.
The PL-300: Microsoft Power BI Data Analyst course and exam are designed for individuals aiming to demonstrate their expertise in analyzing data with Power BI. While there are no strict prerequisites mandated by Microsoft, the following foundational skills and knowledge are highly recommended to ensure success:
Basic Data Analysis Knowledge:
Understanding of data concepts, such as data tables, relationships, and common visualization types.
Familiarity with basic statistical concepts like averages, sums, and trends.
Proficiency in Microsoft Excel:
Some experience with Excel functions like pivot tables, charts, and formulas is advantageous.
Understanding of Data Sources: and basic knowledge of data structures and how to work with different data sources, such as SQL databases, Excel files, or cloud services.
Technical Skills:
Ability to navigate and use software applications comfortably.
Familiarity with Power BI Desktop and Power BI Service is beneficial but not mandatory.
General IT Knowledge:
Awareness of fundamental IT concepts such as file systems, basic networking, and application installation.
Module 1 : Get Started with Microsoft Data analytics- Discover Data Analysis
Get started building with Power BI
Introduction to end-to-end analytics using Microsoft Fabric
Module 2 : Prepare Data for Analysis with Power BI-Get data in Power BI
Clean, transform, and load data in Power BI
Choose a Power BI model framework
Module 3 : Model Data with Power BI
Configure a semantic model
Write DAX formulas for semantic models
Create DAX calculations in semantic models
Use DAX time intelligence functions in semantic models
Create visual calculations in Power BI Desktop
Optimize a model for performance in Power BI
Module 4 : Design Effective Reports in Power BI
Scope report design requirements
Design Power BI reports
Enhance Power BI report designs for the user experience
Perform analytics in Power BI
Module 5 : Manage and Secure Power BI
Manage workspaces in Power BI service
Manage semantic models in Power BI
Choose a content distribution method
Create dashboards in Power BI
Secure data access in Power BI
This course will help to prepare for exam PL-300 - Microsoft Certified: Power BI Data Analyst Associate
This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.