Business Analyst career acceleration in 85 hours
Hands-on Excel, SQL, Power BI, Tableau & Microsoft Fabric
AI-powered Business Analysis & Reporting via Automation Sandbox
Enterprise Digital Transformation simulation: stakeholder & KPI analysis
Capstone project with real business scenarios & dashboards
Flexible learning modes & easy payment options
What we’re going to teach you:
Upcoming sessions
Evolution of Data Analytics
Modern Analyst vs Traditional Analyst
AI-Powered Decision Intelligence
Data-Driven Business Culture
Understanding Business KPIs
Business Problem Solving Frameworks
Analytics Lifecycle
Introduction to AI in Analytics
Responsible AI Fundamentals
ChatGPT
Copilot
Claude
Excel Interface & Modern Workflows
Data Cleaning Techniques
Data Validation
Advanced Formulas
XLOOKUP
INDEX-MATCH
IF Logic
PivotTables & PivotCharts
Power Query Basics
Dashboard Development
Business Reporting Automation
SQL Fundamentals
Filtering & Sorting
Joins
Aggregations
Subqueries
Common Table Expressions (CTEs)
Window Functions
Query Optimization
Business Data Extraction
Reporting Logic
Power BI Ecosystem
Data Import & Connectivity
Power Query
Data Transformation
Relationship Management
Data Modeling Basics
Star Schema Foundations
Data Modeling Best Practices
Star vs Snowflake Schema
Measures vs Calculated Columns
DAX Fundamentals
Time Intelligence
KPI Calculations
Context Transition
Advanced DAX
Performance Optimization
Dashboard Design Principles
Executive Reporting
KPI Storytelling
Drillthrough Features
Interactive Analytics
Mobile Dashboard Optimization
Smart Narratives
AI Visuals
Business Presentation Techniques
Power BI Service
Workspaces
Publishing Reports
Data Refresh
Row-Level Security
Collaboration Features
Governance Basics
Deployment Pipelines
Microsoft Fabric Overview
OneLake Concepts
Lakehouse Architecture
Fabric Dataflows
Semantic Models
Real-Time Analytics
Fabric + Power BI Integration
Enterprise Analytics Architecture
Data Governance Fundamentals
Azure Analytics Ecosystem
Snowflake Overview
Databricks Overview
BigQuery Overview
dbt Awareness
Prepare Data
Model Data
Visualize Data
Analyze Data
Deploy & Maintain Assets
Business Analysis Foundations
Introduction to Business Analysis
Understanding the Business Analyst Role
Business Analyst Career Path
Core Competencies of a Business Analyst
Business Functions
Business Models & Revenue Streams
Customer Value
KPIs and Business Objectives
Analytical Thinking & Problem Solving
Problem Identification
Root Cause Analysis
Decision-Making Frameworks
Business Case Analysis
Stakeholder Management & Communication
Stakeholder Identification
Stakeholder Mapping
Business Communication Techniques
Business Meetings & Workshops
Conflict Resolution Strategies
Requirements Engineering
Requirement Types
Requirement Elicitation Techniques
Requirement Validation
Requirement Challenges
Documentation Fundamentals
BRD Structure
Functional Specifications
User Stories
Acceptance Criteria
Business Process Analysis
Business Process Mapping
As-Is Analysis
To-Be Analysis
Gap Analysis
Process Improvement Opportunities
Agile Business Analysis & Product Ownership
Agile Fundamentals
Scrum Framework
Agile BA Role
Story Mapping
Backlog Management
Product Vision
Product Roadmaps
Prioritization Techniques
Data-Driven Business Analysis
Data-Driven Decision Making
KPI Analysis
Business Reporting & Dashboards
Solution Evaluation
Business Outcomes
User Acceptance Testing
Continuous Improvement
Jira
Lucidchart
Business Analysis Frameworks
Industry Best Practices
Descriptive Analytics
Diagnostic Analytics
Forecasting Concepts
Correlation Analysis
Business Statistics
Probability Concepts
Hypothesis Testing
A/B Testing
Predictive Analytics Foundations
Introduction to LLMs
Prompt Engineering for Analysts
AI Research Workflows
AI-Powered Reporting
AI Dashboard Narratives
Chat-with-Data Systems
AI Agents Basics
Workflow Automation
Responsible AI
AI Hallucination Validation
ChatGPT
Claude
Copilot
Conduct stakeholder and business needs analysis
Gather and validate business requirements
Create process maps and gap analyses
Develop user stories and product backlogs
Analyze business data and KPI performance
Build executive dashboards and reports
Support UAT and solution evaluation activities
Present business recommendations and transformation roadmaps
Participants operate within a simulated enterprise business analysis environment where multiple departments generate large volumes of operational, financial, customer, and performance data requiring continuous monitoring and decision support.
Working as Business Analysts, participants design automated reporting workflows using Excel, SQL, Power BI, Microsoft Fabric, and AI-enabled business analysis tools to streamline data collection, dashboard generation, KPI tracking, requirements documentation, and management reporting processes.
The sandbox environment enables participants to evaluate how automation can improve reporting accuracy, stakeholder visibility, and business decisionmaking effectiveness.
Participants leverage Generative AI, reporting automation techniques, analytics platforms, and business intelligence frameworks to automate requirement analysis, dashboard narratives, executive reporting, KPI interpretation, forecasting insights, and business documentation workflows.
Through practical experimentation and workflow optimization activities, participants build scalable automation solutions that support operational efficiency, data-driven decision-making, stakeholder communication, and enterprise transformation initiatives while maintaining governance, reporting quality, and business alignment
Successful completion of the training will enable professionals in the following ways:
1
Employ advanced business analysis methodologies to address complex organizational challenges
2
Gather stakeholder requirements and deliver actionable documentation
3
Create strategic dashboards to support KPI-driven decision-making
4
Evaluate solutions using Agile frameworks, data insights, and performance indicators
5
Utilise AI-driven tools to streamline reporting, documentation, and analytical workflows
6
Lead digital transformation initiatives through data-informed strategies and process optimisation
Overall ratings by our students
The Business Analyst Course in Oman is valuable because it equips participants with practical skills aligned with the country’s growing demand for data intelligence, Agile delivery, and AI-powered business analysis. By working with tools such as Excel, SQL, Power BI, and Microsoft Fabric, participants gain the ability to transform complex data into actionable insights that support organizational growth.
Beyond technical expertise, the program emphasises requirements engineering, stakeholder management, and Generative AI workflows, enabling participants to contribute meaningfully to Oman’s digital transformation initiatives. This combination of strategic analysis, process optimisation, and business intelligence ensures that professionals are well-equipped to secure high-impact roles across Oman’s finance, telecom, and government sectors.
Yes, the Business Analyst Certification in Oman is recognised by employers across key industries such as finance, telecom, IT services, and government sectors. Organizations value participants who can apply data intelligence, Agile practices, and AI-powered analysis to support strategic growth.
Employers particularly value the program’s focus on requirements engineering, stakeholder management, and KPI-driven dashboards, as these skills directly align with Oman’s digital transformation initiatives. Certified professionals are seen as capable of driving process optimisation and business intelligence, making them highly employable in Oman’s evolving market.
This course in Oman is best suited for professionals who want to advance their careers in data analysis, requirements engineering, and stakeholder management. It is designed for professionals aiming to strengthen their ability to deliver KPI-driven insights and AI-powered solutions that support organizational growth.
This certification is ideal for business analysts, project managers, product owners, data analysts, and process improvement specialists who wish to align their skills with Oman’s digital transformation goals. By mastering Agile practices, predictive analytics, and business intelligence tools, participants position themselves for high-demand roles across Oman’s finance, telecom, and government sectors.
This course prepares participants for Agile and AI-powered roles by combining structured methodologies with advanced digital tools. Through practical exposure to Agile frameworks, product ownership techniques, and iterative solution evaluation, participants learn how to adapt to dynamic business environments and deliver measurable value.
At the same time, this program integrates Generative AI workflows, predictive analytics, and KPI-driven dashboards using Power BI, SQL, and Microsoft Fabric. This ensures professionals can automate reporting, streamline documentation, and deliver actionable insights that support strategic decision-making. The result is a skill set that enables professionals to lead AI-enabled projects and contribute to Oman’s digital transformation initiatives.
To succeed in Oman’s evolving business landscape, participants need practical exposure to tools that enhance data intelligence, reporting, and AI-powered analysis. This course ensures professionals gain hands-on expertise with globally recognised platforms.
The practical tools included in this course are:
The course aligns closely with Oman’s Vision 2040 goals by equipping professionals with advanced skills in data intelligence, Agile delivery, and AI-powered business analysis. These competencies directly contribute to Oman’s ambition to build a diversified and knowledge-driven economy.
By focusing on stakeholder management, predictive analytics, and KPI-driven dashboards, this training program ensures participants can drive digital transformation initiatives across industries. This alignment with Vision 2040 empowers professionals to play a vital role in strengthening Oman’s competitiveness and achieving sustainable growth through process optimisation and business intelligence.
Choosing Learners Point for the Business Analyst training in Oman ensures participants receive industry-relevant, practical, and globally aligned expertise. The academy’s structured approach combines technical mastery with real-world application, making it a trusted choice for professionals.
These are the reasons Learners Point should be chosen:
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