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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

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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

1

Evolution of Data Analytics

2

Modern Analyst vs Traditional Analyst

3

AI-Powered Decision Intelligence

4

Data-Driven Business Culture

5

Understanding Business KPIs

6

Business Problem Solving Frameworks

7

Analytics Lifecycle

8

Introduction to AI in Analytics

9

Responsible AI Fundamentals

10

ChatGPT

11

Copilot

12

Claude

AI Integration

AI Integration

  • Analyze business KPIs and performance drivers
  • Generate AI-assisted business insights and recommendations
Activities/Case Study

Activities/Case Study

  • Business Decision Simulation
1

Excel Interface & Modern Workflows

2

Data Cleaning Techniques

3

Data Validation

4

Advanced Formulas

5

XLOOKUP

6

INDEX-MATCH

7

IF Logic

8

PivotTables & PivotCharts

9

Power Query Basics

10

Dashboard Development

11

Business Reporting Automation

AI Integration

AI Integration

  • Copilot for Excel
  • AI-Assisted Formula Generation
  • AI-Powered Reporting
  • Natural Language Data Analysis
Activities/Case Study

Activities/Case Study

  • Sales KPI Tracker
1

SQL Fundamentals

2

Filtering & Sorting

3

Joins

4

Aggregations

5

Subqueries

6

Common Table Expressions (CTEs)

7

Window Functions

8

Query Optimization

9

Business Data Extraction

10

Reporting Logic

AI Integration

AI Integration

  • Natural Language to SQL
  • AI-Assisted Query Writing
  • Query Optimization using AI
  • AI Debugging Workflows
Activities/Case Study

Activities/Case Study

  • Sales Intelligence Reporting
1

Power BI Ecosystem

2

Data Import & Connectivity

3

Power Query

4

Data Transformation

5

Relationship Management

6

Data Modeling Basics

7

Star Schema Foundations

AI Integration

AI Integration

  • Analyze data quality and transformation opportunities
  • Generate reporting insights from imported datasets
Activities/Case Study

Activities/Case Study

  • Data Cleaning Workflow
1

Data Modeling Best Practices

2

Star vs Snowflake Schema

3

Measures vs Calculated Columns

4

DAX Fundamentals

5

Time Intelligence

6

KPI Calculations

7

Context Transition

8

Advanced DAX

9

Performance Optimization

AI Integration

AI Integration

  • AI-Assisted DAX Generation
  • Copilot for Power BI
  • DAX Optimization using AI
Activities/Case Study

Activities/Case Study

  • Procurement Intelligence Dashboard
1

Dashboard Design Principles

2

Executive Reporting

3

KPI Storytelling

4

Drillthrough Features

5

Interactive Analytics

6

Mobile Dashboard Optimization

7

Smart Narratives

8

AI Visuals

9

Business Presentation Techniques

10

Generate executive dashboard narratives.

11

Support business storytelling and insight communication.

AI Integration

AI Integration

  • Generate executive dashboard narratives
  • Support business storytelling and insight communication
Activities/Case Study

Activities/Case Study

  • Country-Level Performance Dashboard
1

Power BI Service

2

Workspaces

3

Publishing Reports

4

Data Refresh

5

Row-Level Security

6

Collaboration Features

7

Governance Basics

8

Deployment Pipelines

9

Monitor dashboard usage and reporting performance.

10

Support governance and deployment decisions.

AI Integration

AI Integration

  • Monitor dashboard usage and reporting performance
  • Support governance and deployment decisions
Activities/Case Study

Activities/Case Study

  • Secure Dashboard Sharing
1

Microsoft Fabric Overview

2

OneLake Concepts

3

Lakehouse Architecture

4

Fabric Dataflows

5

Semantic Models

6

Real-Time Analytics

7

Fabric + Power BI Integration

8

Enterprise Analytics Architecture

9

Data Governance Fundamentals

10

Azure Analytics Ecosystem

11

Snowflake Overview

12

Databricks Overview

13

BigQuery Overview

14

dbt Awareness

15

.

16

.

AI Integration

AI Integration

  • Analyze enterprise data architecture requirements
  • Support modern analytics platform design decisions
Activities/Case Study

Activities/Case Study

  • Enterprise Reporting Architecture Design
1

Prepare Data

2

Model Data

3

Visualize Data

4

Analyze Data

5

Deploy & Maintain Assets

Activities/Case Study

Activities/Case Study

  • Enterprise Reporting Scenarios
1

Business Analysis Foundations

2

Introduction to Business Analysis

3

Understanding the Business Analyst Role

4

Business Analyst Career Path

5

Core Competencies of a Business Analyst

6

Business Functions

7

Business Models & Revenue Streams

8

Customer Value

9

KPIs and Business Objectives

10

Analytical Thinking & Problem Solving

11

Problem Identification

12

Root Cause Analysis

13

Decision-Making Frameworks

14

Business Case Analysis

15

Stakeholder Management & Communication

16

Stakeholder Identification

17

Stakeholder Mapping

18

Business Communication Techniques

19

Business Meetings & Workshops

20

Conflict Resolution Strategies

AI Integration

AI Integration

  • Analyze stakeholder needs and business challenges
  • Generate stakeholder communication plans and business analysis insights
Activities/Case Study

Activities/Case Study

  • Business Transformation Stakeholder Alignment Project
1

Requirements Engineering

2

Requirement Types

3

Requirement Elicitation Techniques

4

Requirement Validation

5

Requirement Challenges

6

Documentation Fundamentals

7

BRD Structure

8

Functional Specifications

9

User Stories

10

Acceptance Criteria

11

Business Process Analysis

12

Business Process Mapping

13

As-Is Analysis

14

To-Be Analysis

15

Gap Analysis

16

Process Improvement Opportunities

AI Integration

AI Integration

  • Generate requirements documentation and user stories
  • Analyze process gaps and recommend improvement opportunities
Activities/Case Study

Activities/Case Study

  • Enterprise Process Optimization Initiative
1

Agile Business Analysis & Product Ownership

2

Agile Fundamentals

3

Scrum Framework

4

Agile BA Role

5

Story Mapping

6

Backlog Management

7

Product Vision

8

Product Roadmaps

9

Prioritization Techniques

10

Data-Driven Business Analysis

11

Data-Driven Decision Making

12

KPI Analysis

13

Business Reporting & Dashboards

14

Solution Evaluation

15

Business Outcomes

16

User Acceptance Testing

17

Continuous Improvement

18

Jira

19

Lucidchart

20

Business Analysis Frameworks

21

Industry Best Practices

22

Generate product backlog items and Agile documentation.

23

Support solution evaluation and KPI-driven business decision-making.

AI Integration

AI Integration

  • Generate product backlog items and Agile documentation
  • Support solution evaluation and KPI-driven business decision-making
Activities/Case Study

Activities/Case Study

  • Digital Transformation Discovery Project
1

Descriptive Analytics

2

Diagnostic Analytics

3

Forecasting Concepts

4

Correlation Analysis

5

Business Statistics

6

Probability Concepts

7

Hypothesis Testing

8

A/B Testing

9

Predictive Analytics Foundations

AI Integration

AI Integration

  • AI-Powered Forecasting
  • Automated Statistical Interpretation
  • AI-Assisted Business Insights
Activities/Case Study

Activities/Case Study

  • Customer Trend Analysis
1

Introduction to LLMs

2

Prompt Engineering for Analysts

3

AI Research Workflows

4

AI-Powered Reporting

5

AI Dashboard Narratives

6

Chat-with-Data Systems

7

AI Agents Basics

8

Workflow Automation

9

Responsible AI

10

AI Hallucination Validation

11

ChatGPT

12

Claude

13

Copilot

AI Integration

AI Integration

  • Build AI-powered business analysis assistants
  • Automate reporting, documentation, and insight generation
Activities/Case Study

Activities/Case Study

  • AI-Powered Business Analytics Workflow
1

Conduct stakeholder and business needs analysis

2

Gather and validate business requirements

3

Create process maps and gap analyses

4

Develop user stories and product backlogs

5

Analyze business data and KPI performance

6

Build executive dashboards and reports

7

Support UAT and solution evaluation activities

8

Present business recommendations and transformation roadmaps

Meet your Trainer

Himanshu

Mr Himanshu is a highly experienced professional with over 20 years in leadership and IT. He specializes in academic management, quality assurance, and institutional compliance, managing licensing and approvals from awarding bodies like Pearson, Qualify, and regional authorities. With expertise in IT infrastructure, digital transformation, and training, Himanshu has served as a lecturer, director, and program leader. Certified in Cisco, Microsoft, and CompTIA technologies, he excels in managing IT operations, curriculum development, and delivering technical training in diverse, multicultural environments.

Core Competencies:

  • Leadership and Management
  • IT Infrastructure Expertise
  • Program Development Skills
  • Quality Assurance and Compliance
  • Staff Training and Mentoring
  • Technology Integration Proficiency
  • Networking and IT Solutions

Professional Qualifications:

  • Masters of Business Administration (MBA) Marketing & HRD
  • Master of Science
  • Bachelor of Science in Botany Honors
  • Currently studying for the MCIPS Certification from Chartered Institute, UK
  • CIPS Level 4 & CIPS Level 5 from Chartered Institute of Procurement & Supply, UK
  • CIPS Northern Emirates Committee Member- Education
  • Trainer, Learners Point Academy, Dubai

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

  • objective-image

    Ready to get started?

  • 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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    Overall ratings by our students

    Related courses

    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.

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

    Let's chat!

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