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KHDA

Business Analyst Course in Qatar

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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5493 EnrolledEnrolled Learners

Overview

What our training includes:

  • Build expertise in modern business analysis and effective stakeholder collaboration
  • Strengthen your ability to perform requirements engineering and optimise business processes
  • Extract actionable insights using Excel, SQL, and predictive data analysis
  • Develop dynamic Power BI dashboards for KPI monitoring and performance reporting
  • Harness Generative AI to enhance documentation, reporting, and insight generation
  • Create compelling management reports using dashboard visualisation and data storytelling techniques
  • Apply Agile delivery, Product Ownership, and business solution evaluation best practices
  • Make informed business decisions using business intelligence tools and AI-powered analytics

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

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

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

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

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

1

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.

2

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.

3

The sandbox environment enables participants to evaluate how automation can improve reporting accuracy, stakeholder visibility, and business decisionmaking effectiveness.

4

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.

5

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

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

    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

  • 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

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    Frequently asked questions

    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:

    • Develop expertise in requirements elicitation, stakeholder management, and business documentation to identify challenges and recommend practical business solutions.
    • Analyse business data using Excel, SQL, and predictive analytics to uncover trends and support evidence-based decisions.
    • Design interactive Power BI dashboards and KPI-driven reports that communicate business performance through effective data visualisation and storytelling.
    • Apply Agile methodologies, Product Ownership, and business process improvement techniques to evaluate and optimise business solutions.
    • Utilise Generative AI, Microsoft Fabric, and AI-powered workflows to automate reporting, documentation, and business analysis activities.
    • Gain experience through enterprise simulations that strengthen analytical thinking, solution evaluation, and digital transformation capabilities.

    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:

    • Comprehensive and industry-aligned curriculum covering business analysis, Agile methodologies, BI, and Generative AI.
    • Practical training in Excel, SQL, Power BI, Microsoft Fabric, and predictive analytics to develop skills applicable in real business scenarios.
    • Enterprise simulations and AI-powered business analysis workflows that strengthen problem-solving and solution evaluation capabilities.
    • Dedicated focus on interactive KPI dashboards, business process improvement, and executive reporting to prepare participants for data-driven business environments.
    • Exposure to modern digital transformation practices by integrating AI-enabled analytics, automation, and BI throughout the training.
    • Structured instructor-led sessions that combine theoretical concepts with practical exercises, enabling participants to apply business analysis techniques across Qatar.

    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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