Power BI Course in Oman
Experience 25 Hours of hands-on training by an Industry Expert
Use Microsoft Power BI for data modelling & transformation
Master Advanced DAX, Row-Level Security and Fabric
Master PL-300 skills with Microsoft CoPilot for guided analysis
Practise end-to-end governance in the Automation Sandbox
Daily tasks to become a Microsoft Certified PL-300T00 Power BI Data Analyst
Access Learners Point CareerHub for job support
Get lifetime ownership of classes
Affordable payment options through easy instalments
4.9/5
6682 Enrolled
Overview
What you will learn:
- Learn BI Skills from Middle East industry experts with 10+ years of experience
- Acquire knowledge of retrieving data from various sources & shaping data structures
- Master DAX, Visualization, and Reporting for impactful insights
- Learn to create and manage & monitor workspace usage and performance
- Develop skills in designing, and enhancing reports & dashboards
- We integrate Microsoft CoPilot to accelerate data modeling and measure creation and to enrich reports
Upcoming sessions
Curriculum
1
Overview of Power BI components (Desktop, Service, Mobile).
2
Copilot Introduction: How to use AI-powered features for data exploration
3
Installing Power BI Desktop and setting up the environment.
4
Navigating the Power BI interface: ribbons, panes, and views.
1
Connecting to various data sources (Excel, SQL, Web APIs).
2
Data profiling, data types, and handling missing values.
3
Advanced transformations: merging, appending, pivoting, unpivoting data.
4
Using Power Query Editor for complex data shaping.
1
Designing star and snowflake schemas.
2
Creating and managing table relationships.
3
DAX basics: calculated columns, measures, and quick measures.
4
Using DAX for basic calculations like SUM, AVERAGE, COUNT.
1
Advanced DAX functions: CALCULATE, FILTER, ALL, RELATED.
2
Time intelligence functions for date-based calculations (e.g., YTD, QTD).
3
Performance optimization techniques: DAX query tuning, minimizing model size (Copilot flags inefficient queries, suggests optimization techniques, and generates reusable patterns).
1
Building advanced visuals: combination charts, gauges, maps, and custom visuals
2
Creating dynamic reports with slicers, bookmarks, and drill-through.
3
Designing for user experience: layout, color schemes, and storytelling.
4
Best practices for dashboard design and performance.
1
Publishing reports and dashboards to Power BI Service.
2
Configuring dataset refresh schedules and managing gateways.
3
Setting up Row-Level Security (RLS) for data access control.
1
Using Copilot to generate natural language insights and queries.
2
Automating data exploration and report generation.
3
Implementing Copilot for predictive analytics and recommendations.
1
Utilizing AI visuals like Key Influencers, Decomposition Tree, and Smart Narrative.
2
Conducting clustering, anomaly detection, and forecasting.
3
Interactive Q&A with natural language queries.
1
Overview of Microsoft Fabric: Synapse, Data Factory, Data Lake, and Power BI.
2
Using OneLake for centralized data storage.
3
Building Synapse Dataflows for real-time data ingestion (AI automates dataflow creation, pipeline monitoring, and anomaly detection).
4
Creating data pipelines for ETL processes and integrating with Power BI (manual oversight ensures enterprise architecture and regulatory governance).
1
Identify 5-7 repeatable BI tasks (data refresh, anomaly detection, dashboard publishing)
2
Redesign into AI-driven workflows with clear human validation checkpoints
3
Define decision boundaries between AI automation and manual oversight
4
Select 3 areas for Agentic AI implementation with productivity, speed, and scale justifications
5
Identify 2 areas requiring manual control with risk, compliance, and ethical considerations
6
Develop implementation roadmap with success metrics
7
Quantify AI productivity improvements (time savings, error reduction, scalability)
8
Assess risks of autonomous AI operations without human control
9
Create governance framework balancing automation with strategic oversight
Our Expert Instructors
We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.
Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.
Learning Outcomes
After completing the training, 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 visualise data
3
Derive insights to perform optimisation 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
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
The Power BI Course in Oman is all about teaching professionals how to use Microsoft Power BI to turn raw data into easily comprehensible reports and dashboards. You learn to prepare, clean, model, and visualize data to help enhance the decision-making process of businesses.
You also practice working with advanced tools like DAX, Microsoft CoPilot, and AI visuals to get deeper insights.
The Power BI Course in Oman teaches you to do more than Excel. You learn to connect multiple data sources, apply advanced DAX formulas, and design interactive dashboards.
This improves the way reports are managed. Unlike static spreadsheets, Power BI updates automatically when data changes, giving you live insights into your data.
AI tools like Copilot streamlines data preparation by recommending transformations, detecting anomalies and profiling datasets automatically.
In Power Query Editor, Copilot helps you merge, clean, and structure data up to 50% faster. You will also learn when manual adjustments are necessary for compliance or domain-specific logic. This gives you both speed and control.
Yes. The course in Oman emphasizes responsible automation through guided Automation Sandbox phases.
You will identify decision boundaries between AI automation and human control, ensuring compliance and ethical governance. This structured approach helps you apply AI responsibly in enterprise contexts.
With the Power BI Course in Oman, candidates can develop several technical skills. These skills help them in data visualization and become experts in using Power BI features. Some of these are:
- Data Modeling
- DAX (Data Analysis Expressions)
- Data Preparation
- Report Design
- Workspace Management
The Power BI Course in Oman is ideal for beginners, experienced professionals like Business Analysts, IT professionals and any individual interested in Data Analytics. These candidates should apply for our course and be expert in data visualization.
Yes, our Power BI training in Oman cover DAX functions. Participants will learn DAX or Data Analysis Expressions, which helps to perform calculations, create custom measures and optimize data models.
After completing the Power BI training, the participants can apply for various job roles in Oman. Some of them are:
- BI Analyst and Data Analyst
- Power BI Specialist
- Data Visualization Specialist
- AI Data Analyst
- Financial Analyst
- Customer Insights Analyst
Yes, 25 hours is enough to develop professional skills as a Power BI Analyst. The Microsoft Power BI course in Oman includes clear concepts, hands-on exercises, and real-world examples to ensure strong learning.
Microsoft recommends at least 24 hours of study to prepare for the PL-300T00 exam. Additionally with lifetime access, you can revisit lessons, join multiple batches and refine your skills whenever needed.
The course has a specific module dedicated to preparing and connecting data. In this module, professionals learn the following -
- Import data from Excel, SQL servers, and other systems
- Fix errors when importing data
- Improve performance when handling large data sets
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