PL-300T00: Microsoft Power BI Data Analyst

Overview:

Master data analysis with our Power BI Data Analyst Course in Dubai. Designed for aspiring data analysts and BI professionals, this PL-300 certification course offers 25 hours of practical, hands-on training led by industry experts. Learn how to model, transform, and visualize data using Power BI, Microsoft Copilot, and Fabric to uncover valuable business insights.

What You Will Learn:

• Our PL-300 Power BI Data Analyst training provides a step-by-step approach to mastering data analytics tools and techniques. Key learning areas include:
• Power BI Fundamentals: Understand Power BI components, including Desktop, Service, and Mobile.
• Data Preparation & Transformation: Clean and transform data using Power Query Editor.
• Data Modeling & DAX: Learn data relationships, DAX calculations, and advanced functions like CALCULATE, FILTER, and RELATED.
• Advanced Reporting & AI Tools: Work with Microsoft Copilot for AI-driven insights and Fabric for real-time data handling.
• Row-Level Security (RLS): Manage data access with advanced security configurations.
• Hands-on Projects: Solve real-world data challenges with over 5+ use cases and a final capstone project.

Why Take the Power BI Data Analyst Course?

• PL-300 Certification: Prepare for the globally recognized PL-300 Power BI Data Analyst Certification.
• Practical Learning: Engage in daily tasks to reinforce concepts and develop hands-on expertise.
• Career Advancement: Boost your career as a certified data analyst with job-ready skills and project experience.
• AI Integration: Learn how to use Microsoft Copilot and Fabric for modern data analysis.
• Flexible Learning: Access lifetime class ownership and convenient payment plans with easy installments.

Course Outline

Module 1: Introduction to Power BI

• Overview of Power BI components (Desktop, Service, Mobile)
• Copilot Introduction: How to use AI-powered features for data exploration
• Installing Power BI Desktop and setting up the environment
• Navigating the Power BI interface: ribbons, panes, and views
• Hands-on Lab: Importing sample datasets and exploring Copilot

Module 2: Data Preparation & Transformation

• Connecting to various data sources (Excel, SQL, Web APIs)
• Data profiling, data types, and handling missing values
• Advanced transformations: merging, appending, pivoting, unpivoting data
• Using Power Query Editor for complex data shaping
• Hands-on Lab: Building a data model for sales data analysis

Module 3: Data Modeling & DAX Fundamentals

• Designing star and snowflake schemas
• Creating and managing table relationships
• DAX basics: calculated columns, measures, and quick measures
• Using DAX for basic calculations like SUM, AVERAGE, COUNT
• Hands-on Lab: Building a data model for sales data analysis

Module 4: Advanced DAX Functions & Optimization

• Advanced DAX functions: CALCULATE, FILTER, ALL, RELATED
• Time intelligence functions for date-based calculations (, YTD, QTD)
• Performance optimization techniques: DAX query tuning, minimizing model size
• Hands-on Lab: Creating advanced DAX measures for business insights

Module 5: Visualizations & Reporting Best Practices

• Building advanced visuals: combination charts, gauges, maps, and custom visuals
• Creating dynamic reports with slicers, bookmarks, and drill-through
• Designing for user experience: layout, color schemes, and storytelling
• Best practices for dashboard design and performance
• Hands-on Lab: Creating an interactive sales performance dashboard

Module 6: Power BI Service & Collaboration

• Publishing reports and dashboards to Power BI Service
• Configuring dataset refresh schedules and managing gateways
• Setting up Row-Level Security (RLS) for data access control
• Hands-on Lab: Publishing and sharing reports with user access control

Module 7: Copilot in Power BI

• Using Copilot to generate natural language insights and queries
• Automating data exploration and report generation
• Implementing Copilot for predictive analytics and recommendations
• Hands-on Lab: Using Copilot for advanced data exploration

Module 8: Advanced Data Analysis Techniques

• Utilizing AI visuals like Key Influencers, Decomposition Tree, and Smart Narrative
• Conducting clustering, anomaly detection, and forecasting
• Interactive Q&A with natural language queries
• Hands-on Lab: Applying AI visuals to real-world business data

Module 9: Microsoft Fabric Deep Dive

• Overview of Microsoft Fabric: Synapse, Data Factory, Data Lake, and Power BI
• Using OneLake for centralized data storage
• Building Synapse Dataflows for real-time data ingestion
• Creating data pipelines for ETL processes and integrating with Power BI
• Hands-on Lab: Setting up a Fabric workspace, creating dataflows, and integrating with Power BI

Career Benefits of Power BI Data Analyst Training

This PL-300 Power BI Data Analyst course equips you with industry-demanded skills to help you:

• Stand out in the job market as a certified data analyst.
• Work in fields like business intelligence, data analysis, and financial analytics.
• Enhance your professional portfolio with hands-on projects and real-world use cases.
• Gain lifetime access to CareerHub for job assistance and resume building.

Why Choose Learner’s Point?

• Expert Instructors: Learn from top industry professionals with real-world expertise.
• Globally Recognized Certification: Earn the PL-300 Power BI Data Analyst Certification.
• Practical Training Approach: Focus on hands-on labs with real data analysis use cases.
• Lifetime Learning Access: Revisit course materials anytime with lifetime class ownership.
• Flexible Payment Plans: Affordable payment options with easy installment plans.

Testimonials

Jermaini Holder, Data Analyst

"The Microsoft Power BI Data Analyst course was incredibly helpful in teaching me how to analyze data and create stunning visualizations. The course was well structured and provided hands-on ;

Naurine Selver, Business Intelligence Analyst

"I've taken several data analysis courses in the past, but the Microsoft Power BI Data Analyst course was the ;