Microsoft Power BI Data Analyst: PL-300 Certification Prep
Build Power BI expertise. Learn Data Preparation, Modeling, Visualization, Deployment to ace the Microsoft PL-300 Exam.
4.29 (12 reviews)
1,264
students
59.5 hours
content
Dec 2024
last update
$44.99
regular price
What you will learn
Prepare for the PL-300 Exam: Practice with mock exams and case studies tailored for the Microsoft Power BI Data Analyst certification.
Understand Data Analytics Foundations: Gain a comprehensive understanding of data analytics concepts, roles, and latest trends in the field.
Explore Types of Data Analysis: Learn the differences between descriptive, diagnostic, predictive, and prescriptive analytics and their practical applications.
Understand Power BI Architecture: Familiarize yourself with the components of Power BI, including Desktop, Service, Mobile, and Premium, and their integration.
Master Data Preparation Techniques: Connect to and transform raw data, handle missing values, and manage multiple data sources using Power Query.
Build Robust Data Models: Develop data models with star schemas, create relationships, and apply advanced DAX calculations for effective data analysis.
Enhance Data Security: Implement Row-Level Security (RLS) to manage and restrict data access.
Create Interactive Visualizations: Design engaging and interactive reports, dashboards, and KPIs that facilitate better decision-making.
Optimize Reporting Performance: Learn techniques to optimize Power BI reports for faster performance and scalability.
Explore Deployment and Maintenance: Deploy Power BI reports, manage governance and security, and leverage Power BI Premium and API integrations for enterprises.
Leverage the Power Platform Ecosystem: Understand the functionalities of Power Automate, Power Apps, Power Pages, and their integration with Power BI.
Understand Microsoft Fabric: Explore Microsoft Fabric’s capabilities in data governance, pipelines, and integration with Power BI and the Power Platform.
Implement Advanced Power Platform Use Cases: Develop AI-enhanced workflows, multi-stage processes, and custom connectors for extended functionality.
Solve Real-World Case Studies: Apply acquired skills to real-world business scenarios, tackling complex data analytics problems.
Explore Career Opportunities: Discover data analytics career paths and prepare for roles like Data Analyst and Business Intelligence Developer.
6298643
udemy ID
11/21/2024
course created date
12/7/2024
course indexed date
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