Overview: PL-300T00 - Design and manage analytics solutions using Power BI
Design and manage analytics solutions using Power BI course equips you with the essential skills and knowledge to transform data from various sources into clear, actionable insights using Microsoft Power BI. As a Design and manage analytics solutions using Power BI, you’ll learn to connect to and retrieve data, prepare it for analysis, and create compelling reports and dashboards that effectively communicate your findings. This course ensures you are well-versed in the fundamental aspects of data analysis with Microsoft Power BI. The Design and manage analytics solutions using Power BI role is crucial for translating complex data into easy-to-understand formats.
Additionally, the Microsoft Power BI Data Analyst course covers best practices for data modeling, visualization, and sharing your work with others. By becoming a proficient Microsoft Power BI Data Analyst, you will be able to leverage the full potential of Microsoft Power BI to inform business decisions and drive organizational success. Enroll in the Microsoft Power BI Data Analyst course today and start your journey towards mastering data analytics with Microsoft Power BI. The comprehensive training provided in this course will ensure you excel as a Microsoft Power BI Data Analyst.
Course Details
Course Code: PL-300T00; Duration: 3 Days; Instructor-led
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
The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted at those individuals who develop reports that visualize data from the data platform technologies that exist 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.
Methodology
This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.
Course Objectives
- 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
- Create paginated reports in Power BI
Outlines
Explore the role of a data analyst and how Power BI tools transform data into impactful reports and dashboards that support trusted, data-driven decisions across the business.
Lessons
- Discover data analysis
- Get started building with Power BI
- Introduction to end-to-end analytics using Microsoft Fabric
- Get started with Copilot in 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.
Lessons
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Choose a Power BI model framework
Data modeling configures and shapes your prepared data to design a semantic model with the necessary relationships and calculations using Data Analysis Expressions (DAX). This process ensures accurate analysis and sets you up to create clear, impactful Power BI reports.
Lessons
- 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
Use data visualization and storytelling techniques to create insightful, dynamic Power BI reports that engage users, highlight key findings, and help inform decisions based on data.
Lessons
- Scope report design requirements
- Design Power BI reports
- Enhance Power BI report designs for the user experience
- Perform analytics in Power BI
Ensure content is accessible and distributed effectively in Power BI to foster collaboration and informed decision-making. Protect sensitive information with robust security, building trust across your organization.
Lessons
- Manage workspaces in Power BI service
- Manage semantic models in Power BI
- Choose a content distribution method
- Create dashboards in Power BI
- Create dashboards in Power BI
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
