Business Analyst Course in Dubai
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
Overview
Our training will help you:
- Master business analytics tools with real-world datasets used in Dubai-based industries
- Build dashboards and reports aligned with regional business KPIs and decision-making needs
- Learn SQL, Power BI, and Tableau through hands-on projects and case scenarios
- Develop job-ready skills for business analyst roles across the UAE industries
- Work on simulations reflecting real enterprise challenges in Dubai’s business environment
- Gain practical experience in reporting, automation, and stakeholder communication
Upcoming sessions
Curriculum
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
AI Integration
- Analyze business KPIs and performance drivers
- Generate AI-assisted business insights and recommendations
Activities/Case Study
- Business Decision Simulation
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
AI Integration
- Copilot for Excel
- AI-Assisted Formula Generation
- AI-Powered Reporting
- Natural Language Data Analysis
Activities/Case Study
- Sales KPI Tracker
SQL Fundamentals
Filtering & Sorting
Joins
Aggregations
Subqueries
Common Table Expressions (CTEs)
Window Functions
Query Optimization
Business Data Extraction
Reporting Logic
AI Integration
- Natural Language to SQL
- AI-Assisted Query Writing
- Query Optimization using AI
- AI Debugging Workflows
Activities/Case Study
- Sales Intelligence Reporting
Power BI Ecosystem
Data Import & Connectivity
Power Query
Data Transformation
Relationship Management
Data Modeling Basics
Star Schema Foundations
AI Integration
- Analyze data quality and transformation opportunities
- Generate reporting insights from imported datasets
Activities/Case Study
- Data Cleaning Workflow
Data Modeling Best Practices
Star vs Snowflake Schema
Measures vs Calculated Columns
DAX Fundamentals
Time Intelligence
KPI Calculations
Context Transition
Advanced DAX
Performance Optimization
AI Integration
- AI-Assisted DAX Generation
- Copilot for Power BI
- DAX Optimization using AI
Activities/Case Study
- Procurement Intelligence Dashboard
Dashboard Design Principles
Executive Reporting
KPI Storytelling
Drillthrough Features
Interactive Analytics
Mobile Dashboard Optimization
Smart Narratives
AI Visuals
Business Presentation Techniques
Generate executive dashboard narratives.
Support business storytelling and insight communication.
AI Integration
- Generate executive dashboard narratives
- Support business storytelling and insight communication
Activities/Case Study
- Country-Level Performance Dashboard
Power BI Service
Workspaces
Publishing Reports
Data Refresh
Row-Level Security
Collaboration Features
Governance Basics
Deployment Pipelines
Monitor dashboard usage and reporting performance.
Support governance and deployment decisions.
AI Integration
- Monitor dashboard usage and reporting performance
- Support governance and deployment decisions
Activities/Case Study
- Secure Dashboard Sharing
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
.
.
AI Integration
- Analyze enterprise data architecture requirements
- Support modern analytics platform design decisions
Activities/Case Study
- Enterprise Reporting Architecture Design
Prepare Data
Model Data
Visualize Data
Analyze Data
Deploy & Maintain Assets
Activities/Case Study
- Enterprise Reporting Scenarios
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
AI Integration
- Analyze stakeholder needs and business challenges
- Generate stakeholder communication plans and business analysis insights
Activities/Case Study
- Business Transformation Stakeholder Alignment Project
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
AI Integration
- Generate requirements documentation and user stories
- Analyze process gaps and recommend improvement opportunities
Activities/Case Study
- Enterprise Process Optimization Initiative
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
Generate product backlog items and Agile documentation.
Support solution evaluation and KPI-driven business decision-making.
AI Integration
- Generate product backlog items and Agile documentation
- Support solution evaluation and KPI-driven business decision-making
Activities/Case Study
- Digital Transformation Discovery Project
Descriptive Analytics
Diagnostic Analytics
Forecasting Concepts
Correlation Analysis
Business Statistics
Probability Concepts
Hypothesis Testing
A/B Testing
Predictive Analytics Foundations
AI Integration
- AI-Powered Forecasting
- Automated Statistical Interpretation
- AI-Assisted Business Insights
Activities/Case Study
- Customer Trend Analysis
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
AI Integration
- Build AI-powered business analysis assistants
- Automate reporting, documentation, and insight generation
Activities/Case Study
- AI-Powered Business Analytics Workflow
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
Learning Outcomes
By the end of this course, you will be able to:
1
Use advanced Excel functions to clean, analyse, and structure business datasets effectively
2
Write efficient SQL queries to extract, manipulate, and analyse structured data from databases
3
Create interactive dashboards in Power BI and Tableau aligned with key business performance metrics
4
Apply DAX functions in Power BI to build calculated measures and structured data models
5
Interpret business requirements and convert them into clear, data-driven analytical solutions
6
Design reports that support strategic decision-making across multiple business functions and domains
7
Present insights clearly to stakeholders using structured reporting and data storytelling techniques
8
Work with real-world datasets to simulate practical business analysis and reporting workflows
9
Develop a strong portfolio showcasing end-to-end analytics projects and business problem-solving skills
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Frequently asked questions
The Business Analyst Course in Dubai covers the complete workflow of working with data, from preparation to reporting and decision-making. You will learn how to handle datasets, analyse trends, and present insights using industry tools.
The course includes:
- Excel for data cleaning and analysis
- SQL for querying structured databases
- Power BI and Tableau for dashboards and reporting
- Business requirement analysis and stakeholder communication
This structured approach helps you understand how analysts operate in real business environments.
The Business Analyst training in Dubai focuses on how data is used to solve real business problems rather than simply teaching individual tools. You will learn how to connect data analysis with decision-making processes, ensuring that your insights are aligned with actual business needs. Instead of isolated learning, the program emphasises end-to-end analytical workflows, business-focused problem solving, and real-world reporting scenarios, making the training far more practical and aligned with actual job roles in the industry.
Yes, there is a strong demand in Dubai for professionals who can analyse data and support business decisions. Organisations across industries rely on analysts to improve efficiency, optimise processes, and drive performance. After completing the course, you can explore roles such as Business Analyst, Data Analyst, Reporting Analyst, and Junior Analytics Consultant. Your career growth and opportunities will largely depend on how effectively you can apply your analytical skills in real-world scenarios.
Employers in Dubai look for professionals who can combine technical skills with business understanding. The role requires both data handling and communication abilities.
Key skills include:
• - Data analysis and interpretation
• - Dashboard creation and reporting
• - SQL querying and data extraction
• - Understanding business requirements
• - Communicating insights to stakeholders
These skills are essential for working in data-driven environments.
After completing the Business Analyst Course in Dubai, you can opt for the for the following job roles:
1) Business System Analyst
2) Data Analyst
3) Technical Business Analyst
4) Business Intelligence Analyst
5) Risk Analyst
6) Operations Analyst
7) Financial Analyst
8) Customer Insights Analyst
No prior experience is required to start the Business Analyst course, as the program is designed to guide learners from foundational concepts to advanced topics in a structured manner. You will gradually build capabilities in data handling, analytical thinking, and reporting and visualisation, allowing you to develop confidence step by step. This approach makes the course suitable for both beginners and working professionals looking to upskill or transition into analytics.
This Business Analyst course includes training on the core tools used in analytics and reporting. The focus is on how these tools work together in real scenarios.
You will learn:
• - Excel for data preparation and analysis
• - SQL for database querying
• - Power BI for interactive dashboards
• - Tableau for data visualisation
Understanding how these tools connect is a key part of the training.
Learners Point’s Business Analyst course in Dubai places strong emphasis on hands-on learning through structured exercises and real-world scenarios. The training is designed to simulate actual business environments, helping you understand how analytical tasks are performed in practice. You will work with realistic datasets, dashboard creation tasks, and reporting workflows, enabling you to apply concepts effectively rather than just learning them theoretically.
The duration of this training depends on the schedule and learning format you choose, allowing flexibility based on your availability. The course is structured to ensure gradual progression from basic to advanced concepts, helping you build a strong foundation before moving into complex topics. This approach allows you to develop core skills, practise consistently, and apply concepts effectively, with a focus on long-term skill development rather than quick completion.
Yes, practical project work is a core part of the learning process. You will complete multiple tasks that reflect real business analysis scenarios, helping you understand how concepts are applied in professional settings. These include working on data cleaning and preparation, SQL-based data extraction, dashboard development, and report generation, all of which contribute to building confidence and hands-on analytical experience.
Yes, the Business Analyst Course includes practical learning through a Capstone Project or an Industry Simulation, based on the participant’s background.
IT participants complete a Capstone Project to apply business analysis concepts in a structured project environment. Non-IT participants take part in an Industry Simulation to understand real business scenarios, reporting requirements, and process analysis.
Business analysis focuses on understanding business needs, defining problems, and recommending solutions, while data analysis focuses on working with datasets to identify trends and generate insights. In practical terms, business analysts are responsible for defining requirements and aligning solutions with business goals, whereas data analysts focus on processing and interpreting data. This training helps you understand how both roles overlap and complement each other in real-world scenarios.
Yes, this training is well-suited for individuals looking to transition into analytics roles, as it combines both technical skills and practical exposure. By the end of the program, you will have a clear understanding of analytical workflows, hands-on experience with industry tools, and project-based learning outcomes. This combination helps you build confidence and supports a smoother and more practical career transition into the analytics domain. This combination supports a smoother career transition.
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