Business Analyst career acceleration in 85 hours
Hands-on training across Excel, SQL, Power BI, Tableau & Microsoft Fabric
AI-powered Business Analysis & Reporting with Automation Sandbox
Enterprise Digital Transformation simulation with stakeholder & KPI analysis
Capstone project with real-world business scenarios & dashboards
Flexible learning modes & easy payment options
What our training includes:
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
By the end of this course, you will be able to:
1
Implement business analysis best practices to resolve organizational problems and improve outcomes
2
Capture stakeholder needs and translate them into clear and well-defined business requirements
3
Build executive dashboards that visualise KPIs and support effective business performance monitoring
4
Measure and refine business solutions using Agile frameworks, analytics, and key performance indicators
5
Utilise Generative AI to automate documentation, reporting, and analytical workflows
6
Enable enterprise transformation through process optimisation and data-driven business decisions
Overall ratings by our students
The Business Analyst Course in Qatar covers the complete business analysis lifecycle, including requirements engineering, stakeholder management, business process improvement, Agile methodologies, business intelligence, predictive analytics, and solution evaluation. Participants also develop practical skills in Excel, SQL, Power BI, Microsoft Fabric, DAX, and Generative AI for modern business environments.
The curriculum combines enterprise simulations, interactive dashboard development, and AI-powered business analysis workflows to help participants transform business data into actionable insights, support strategic decisions, and contribute to digital transformation initiatives across organisations.
Yes. Business Analysis is a promising career in Qatar, driven by the country's continued investment in digital transformation, business intelligence, and data-driven decision-making across public and private sectors. Organisations increasingly value professionals who can align business objectives with technology and deliver measurable outcomes.
By developing expertise in requirements engineering, stakeholder management, Agile methodologies, Power BI, SQL, and AI-powered analytics, participants can build capabilities that are highly relevant to modern organisations. These future-focused skills enable professionals to contribute to enterprise transformation and continuous business improvement initiatives in Qatar.
A Business Analyst focuses on identifying business needs, gathering stakeholder requirements, improving business processes, and recommending solutions that align with organisational objectives. In contrast, a Data Analyst primarily collects, analyses, and visualises data to uncover trends, measure performance, and support evidence-based decisions.
While both roles rely on data-driven insights, their responsibilities differ. A Business Analyst bridges the gap between business and technology, whereas a Data Analyst specialises in interpreting data using tools such as Excel, SQL, and Power BI. Many modern organisations value professionals who understand both disciplines to support successful digital transformation initiatives.
No, IT knowledge is not mandatory to become a Business Analyst in Qatar. The role primarily requires strong analytical thinking, problem-solving, stakeholder communication, and the ability to understand business processes and translate business needs into practical solutions.
However, familiarity with tools such as Excel, SQL, Power BI, and Generative AI can significantly enhance your effectiveness. A structured Business Analyst Course helps participants develop both technical and business analysis skills. It enables them to contribute to digital transformation and data-driven business initiatives.
Power BI, SQL, and AI are essential for Business Analysts because they transform raw business data into meaningful insights that support evidence-based decisions. These technologies enable professionals to analyse trends, create interactive dashboards, monitor KPIs, and communicate business performance clearly to stakeholders.
SQL helps retrieve and organise data, Power BI converts it into actionable visual reports, while Generative AI streamlines documentation, reporting, and business analysis workflows. Together, these skills enable participants to improve operational efficiency, support digital transformation, and deliver greater value across modern organisations.
Through this training, participants earn practical capabilities that align with modern business environments through a curriculum focused on business analysis, data analytics, BI, Agile practices, and AI-enabled decisions. Participants develop workplace-ready skills that can be applied across diverse industries in Qatar.
The practical skills gained from this training are:
As Business Analysis continues to evolve with AI, business intelligence, and data-driven decisions, choosing the right training provider is essential. Learners Point combines a comprehensive curriculum with practical learning experiences that help participants build skills relevant to today's business environment.
Reasons why Learners Point stands out for this training:
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