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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

Learning Objectives

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

  • objective-image

    Ready to get started?

  • Overall ratings by our students

    Upcoming sessions

    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.

    Our Expert Instructors

    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.

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    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

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    Related courses

    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.

    Hands-on Lab: Importing sample datasets and exploring Copilot.

    AI-Powered Learning Experience

    • AI-Driven Exploration: Query data naturally and receive instant summaries
    • Visual Generation: Turn insights into rapid visuals and draft dashboards
    • Workflow Acceleration: Use automated Q&A to uncover trends quickly
    • Human Judgment: Build reliable data models with business context
    • Strategic Control: Retain ownership of logic, accuracy, and decisions
    • 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: Transforming raw data into a clean dataset.

    AI-Powered Learning Experience:

    • Intelligent ETL: Automates profiling, detects anomalies, and speeds preparation
    • Smart Transformation: Suggests joins, infers schemas, and optimizes data flows
    • Adaptive Cleaning: Builds guided pipelines for high-quality, trusted datasets
    • Human Oversight: Applies business rules and compliance-specific adjustments
    • Expert Control: Uses domain judgment where AI cannot reliably decide
    • 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.

    AI-Powered Learning Experience

    • Natural Language DAX: Generate formulas from plain English descriptions
    • Instant Validation: Check syntax and receive intelligent relationship suggestions
    • Faster Reporting: Speed up measure creation and repetitive calculation work
    • Human KPI Design: Define meaningful metrics aligned with strategy
    • Strategic Insight: Apply organisational context only experienced professionals provide
    • 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).

    Hands-on Lab: Creating advanced DAX measures for business insights.

    AI-Powered Learning Experience

    • Query Optimisation: Detects inefficiencies and recommends performance improvements
    • Reusable Patterns: Generates trusted DAX structures and best-practice benchmarks
    • Model Efficiency: Speeds calculations and improves overall reporting performance
    • Strategic Focus: Frees time to analyse impact and guide decisions
    • Informed Judgment: Balances accuracy and speed in high-stakes KPI design
    • 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.

    AI-Powered Learning Experience

    • Intelligent Design: Receives AI suggestions for visuals, layouts, and colour schemes
    • Guided Narratives: Generate automated summaries and accessibility-focused recommendations
    • Rapid Prototyping: Accelerate dashboard drafts and optimise presentation quality
    • Audience Alignment: Tailor visual stories for executives and decision-makers
    • Human Impact: Craft persuasive insights that inspire action and clarity
    • 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.

    AI-Powered Learning Experience

    • Intelligent Governance: Monitor refresh cycles and analyse data access behaviour
    • Proactive Alerts: Receive failure notifications and smart RLS recommendations
    • Operational Efficiency: Reduce troubleshooting time and manual administration effort
    • Human Authority: Approve governance changes involving privacy and compliance
    • Ethical Control: Ensure accountability in regulatory and policy decisions
    • 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.

    AI-Powered Learning Experience

    • Automated Insights: Use Copilot for first-draft reports and scenario planning
    • Predictive Scale: Accelerate analysis and share forward-looking recommendations widely
    • Faster Reporting: Cut manual effort and speed up decision-ready outputs
    • Human Validation: Refine AI results for accuracy and business relevance
    • Strategic Storytelling: Translate insights into clear, action-focused narratives for leaders
    • 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 (analysts contextualize AI forecasts for relevance and business meaning).

    AI-Powered Learning Experience

    • Automated Analytics: Generate forecasts, detect patterns, and surface anomalies rapidly
    • Predictive Reach: Share AI-driven insights across teams to empower decisions
    • Accelerated Intelligence: Deliver advanced analysis in minutes, not hours
    • Human Calibration: Choose correct forecast horizons for realistic planning
    • Trusted Judgment: Validate anomalies and predictions using business context and expertise
    • 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).

    Hands-on Lab: Setting up a Fabric workspace, creating dataflows, and integrating with Power BI.

    AI-Powered Learning Experience

    • Automated Pipelines: Generate dataflows and recommended architectures with AI
    • Real-Time Monitoring: Track workloads and detect issues before disruption
    • Intelligent Optimization: Improve pipeline efficiency with anomaly and metadata insights
    • Strategic Oversight: Define architecture roadmaps and long-term data direction
    • Governance Leadership: Uphold compliance, accountability, and ethical data decisions

    Phase 1 – Task & Workflow Design

    • 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

    Phase 2 – Strategic Implementation Choices

    • 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

    Phase 3 – Productivity vs. Risk Analysis

    • 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

    Assessment Format Options:

    Individual: Comprehensive 2-3 page strategic plan Group Workshop: Collaborative whiteboard sessions with team presentations on Agentic AI integration strategies

    Learning Outcome: Participants will demonstrate mastery in balancing AI automation with human expertise, ensuring Agentic AI drives productivity while maintaining strategic, ethical, and compliance controls in enterprise environments.

    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

    Do you want to learn more about Learners Point Academy?

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