PL-300T00: Design and Manage Analytics Solutions Using Power BI
25 hours of hands-on training with daily tasks to prepare for PL-300 certification
Use Microsoft Power BI for data modelling & transformation
Learn Advanced DAX, Row-Level Security and Fabric
Master PL-300 skills with Microsoft CoPilot for guided analysis
Automation Sandbox to practise end-to-end governance
Access Learners Point CareerHub for job support
Flexible learning options and lifetime ownership of classes
Easy instalment options
Overview
What will you learn from us:
- Learn from Industry Experts with 10+ years of experience in the Middle East Tech Sector
- Work under BI Analysts on real-world use cases
- Gather, create, and transform data into stunning models
- We integrate Microsoft CoPilot to accelerate data modeling and measure creation and to enrich reports
- Utilize Microsoft Power BI for advanced DAX, visualization, and reporting techniques
- Gain AI-driven insights using Microsoft CoPilot and perform optimization using Fabric
- Perform statistical analysis based on geography, trends, and customer insights
- Point out business problems to operate and provide suitable solutions
Upcoming sessions
Curriculum
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.
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.
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.
Advanced DAX functions: CALCULATE, FILTER, ALL, RELATED.
Time intelligence functions for date-based calculations (e.g., YTD, QTD).
Performance optimization techniques: DAX query tuning, minimizing model size (Copilot flags inefficient queries, suggests optimization techniques, and generates reusable patterns).
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.
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.
Using Copilot to generate natural language insights and queries.
Automating data exploration and report generation.
Implementing Copilot for predictive analytics and recommendations.
Utilizing AI visuals like Key Influencers, Decomposition Tree, and Smart Narrative.
Conducting clustering, anomaly detection, and forecasting.
Interactive Q&A with natural language queries.
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 (AI automates dataflow creation, pipeline monitoring, and anomaly detection).
Creating data pipelines for ETL processes and integrating with Power BI (manual oversight ensures enterprise architecture and regulatory governance).
Identify 5-7 repeatable BI tasks (data refresh, anomaly detection, dashboard publishing)
Redesign into AI-driven workflows with clear human validation checkpoints
Define decision boundaries between AI automation and manual oversight
Select 3 areas for Agentic AI implementation with productivity, speed, and scale justifications
Identify 2 areas requiring manual control with risk, compliance, and ethical considerations
Develop implementation roadmap with success metrics
Quantify AI productivity improvements (time savings, error reduction, scalability)
Assess risks of autonomous AI operations without human control
Create governance framework balancing automation with strategic oversight
Learning Outcomes
After the course concludes, you will be able to:
1
Understand the roles and responsibilities of BI Analysts and Data Analysts
2
Master Microsoft Power BI to model, transform, and visualize data
3
Derive insights to perform optimization using Microsoft CoPilot and Fabric
4
Address real-life business problems by developing analytical expertise
5
Become a Microsoft Certified PL-300T00 Microsoft Power BI Data Analyst
6
Build a strong portfolio by working on real-world use cases
7
Earn Learners Point and KHDA Certifications
Prerequisites
To enrol for the Microsoft Power BI Data Analyst Training, there are some specific prerequisites recommended for the professionals:
- Fundamental knowledge of data analysis and reporting principles
- Proficiency with Microsoft Excel formulas and functions
- Experience handling data within spreadsheets or databases
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Frequently asked questions
The Microsoft Power BI (PL-300) Certification Training is designed to help you master data analysis, visualization, and business intelligence using Microsoft’s powerful BI platform. You will learn how to connect, transform and model data to create interactive dashboards and insightful reports.
This training also integrates AI tools like Microsoft Copilot and an Automation Sandbox for hands-on learning. You will gain practical experience in automating workflows, generating insights with AI and applying data-driven decision-making skills essential for modern analytics professionals.
There are no prerequisites for this course, as all concepts will be taught from the beginning. Whether you are a seasoned analytics professional or a beginner, our Microsoft Power BI Certification Training is designed to prepare you for industry roles. A practical approach will be followed during the training to ensure optimum learning outcomes.
The Power BI Data Analyst Certificate is often not a mandatory requirement. However, having this certificate will give you an extra edge over all the other applicants in a real-world interview scenario. This online certificate adds a lot of credibility to your professional portfolio.
AI tools like Microsoft Copilot simplify complex BI tasks by generating insights, DAX formulas and visuals using natural language. They allow you to experiment with automation, predictive analytics and data storytelling.
Through real-time AI suggestions and intelligent data analysis, you gain both technical mastery and strategic understanding. This helps you work smarter, faster and more accurately with data-driven solutions.
The Automation Sandbox is an interactive simulation environment where you apply AI-driven automation to Power BI workflows. It helps you to:
- Design and test automated data refresh and reporting tasks
- Evaluate Copilot-generated outputs against real-world metrics
- Develop governance models balancing automation with human control
Yes, the Microsoft Power BI Data Analyst Course is aligned with the requirements to crack the exam and many more additional concepts like CoPilot and Fabric.
Skills and practical exposure to tools and technologies like Microsoft Excel, Power BI, Microsoft CoPilot, Microsoft Fabric, Tableau, and SQL are required to be the best candidate for Business Analyst Roles. Use Cases are deciding factors for interviewers in the selection process of candidates. Take a look at our BI Analyst Training for Professionals if you want to learn all of these technologies.
You can apply for several lucrative job roles after completing the Microsoft Power BI Data Analyst program. Some of these are:
1. BI Analyst and Data Analyst
2. Power BI Specialist
3. Data Visualization Specialist
4. AI Data Analyst
5. Financial Analyst
6. Customer Insights Analyst
The following list of industries has huge demand for Business Analyst Professionals in UAE & GCC countries:
1. Banking and Financial Institutions
2. Government and Public Sectors
3. Oil and Gas
4. Real Estate and Construction
5. Healthcare and Pharmaceuticals
6. Logistics and Transportation
7. Startups in Various Fields
8. And many more, like P&G, Unilever, Nestle, Accenture, Deloitte, etc.
You can attend the classes of the Microsoft Power BI Data Analyst Course in our classroom facility in Dubai. Please speak with our advisor to get the exact location. If you are from outside the UAE, you can attend our classes online from anywhere across the globe. A hybrid training mode is available.
At Learners Point, a learner’s satisfaction with the training and confidence after the training is of utmost importance. We provide lifetime access to the sessions for you. You can attend multiple batches of the program till you are confident about all the concepts.
Yes! You can enrol with us by availing easy instalment options with Tabby or Tamara.
We also provide No-Cost EMI options with certain Credit Cards. Talk to our advisors for accurate information.
Our Microsoft Power BI Data Analyst training program is designed to give you a clear conceptual understanding. A minimum of 24 Hours of training is required for someone to ace the PL-300T00 Exam.
Complete daily assignments to track your knowledge. Use Case to check your implementation capabilities. If you still believe you need to revise the concepts, you can attend multiple batches with us owing your Lifetime Access to the Program.
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