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Microsoft Power BI Data Analyst (PL-300)
Description
Microsoft Power BI Data Analyst (PL-300) Introduction
Welcome to the Microsoft Power BI Data Analyst (PL-300) Certification Course! In today’s data-driven world, the ability to analyze and visualize data is a crucial skill for business professionals.
This comprehensive course equips you with the knowledge and skills needed to excel as a Microsoft Power BI Data Analyst (PL-300).
In this course, participants will explore various methods and best practices for modeling, visualizing, and analyzing data using Microsoft Power BI.
The course covers how to access and process data from different sources, create compelling visuals and reports, and effectively manage and deploy reports and dashboards.
By the end of this training, you will be well-prepared to harness the full potential of Microsoft Power BI for data analysis, visualization, and reporting.
Prerequisites
- Understanding of core data concepts
- Knowledge of working with relational data in the cloud
- Knowledge of working with non-relational data in the cloud
- Familiarity with data analysis and visualization concepts
Audience
- Data professionals
- Business intelligence professionals
- Those who want to learn how to perform data analysis using Microsoft Power BI (PL-300)
- Report developers who work with data from both cloud and on-premises sources
Microsoft Power BI Data Analyst (PL-300) Outline
Discover Data Analysis with Microsoft Power BI
- Explore the roles in data analysis
- Understand the tasks of a data analyst
Get Started Building with Power BI
- Learn about Power BI services and applications
- Create compelling visuals and reports
Get Data in Power BI
- Connect to various data sources
- Enhance data retrieval performance
Clean, Transform, and Load Data in Power BI
- Utilize Power Query for data cleaning and preparation
- Profile columns and transform data types
Design a Data Model in Power BI
- Develop common date tables
- Configure relationships and star schemas
- Select the appropriate data granularity
Add Measures to Power BI Desktop Models
- Create both simple and complex measures
- Understand the difference between calculated columns and measures
Add Calculated Tables and Columns to Power BI Desktop Models
- Generate calculated tables and columns
- Explore row context and best practices for calculated columns
Use DAX Time Intelligence Functions in Power BI
- Apply time intelligence functions
- Conduct time-based analysis
Optimize a Model for Performance in Power BI
- Review and enhance measure and relationship performance
- Optimize data models for improved performance
Design Power BI Reports
- Understand the structure of Power BI reports
- Choose the most suitable visualizations for your reports
Configure Power BI Report Filters
- Design reports with a focus on filtering
- Use slicers and advanced filtering techniques
Enhance Power BI Designs for the User Experience
- Create interactive reports featuring details, highlights, and navigation
- Work with bookmarks and visual headers
Perform Analytics in Power BI
- Explore statistical analysis and data grouping
- Utilize advanced analytics features such as Quick Insights and AI Insights
Create and Manage Workspaces in Power BI
- Navigate the Power BI service effectively
- Distribute reports and monitor usage
Manage Datasets in Power BI
- Connect to on-premises data sources using a gateway
- Configure dataset refresh and optimize performance
Create Dashboards in Power BI
- Construct personalized dashboards featuring pinned visuals
- Configure mobile views and real-time data
Implement Row-Level Security in Power BI
- Configure row-level security for precise data access control
$1785.00
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3 Days Course |