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KHDA

Business Analyst Course in Oman

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

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6525 EnrolledEnrolled Learners

Overview

What we’re going to teach you:

  • Gain expertise in business analysis frameworks and stakeholder engagement strategies
  • Acquire skills in requirements engineering and process optimisation
  • Design dynamic dashboards using Power BI and Microsoft Fabric
  • Work with Excel, SQL, and predictive models to interpret and analyse business data
  • Implement Agile methodologies, product ownership practices, and solution evaluation techniques
  • Harness Generative AI for documentation, reporting, and actionable insights
  • Produce executive-level reports using KPI-driven dashboards and data storytelling techniques
  • Enhance strategic decision-making through business intelligence and 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

  • -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

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

  • 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 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:

    • Excel – for advanced data modelling and requirements documentation
    • SQL – to query, manage, and analyse structured datasets
    • Power BI – for building interactive dashboards and KPI-driven insights
    • Microsoft Fabric – for enabling enterprise-scale analytics and reporting workflows
    • Predictive Analytics Tools – for supporting data-driven forecasting and decision-making
    • Generative AI Workflows – for automating reporting, documentation, and business insights

    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:

    • Proven expertise with over two decades of training excellence
    • Course modules aligned with Oman’s digital transformation goals
    • Hands-on practice using tools like Power BI, SQL, and Microsoft Fabric
    • Integration of Generative AI for reporting and documentation workflows
    • Practical simulations that mirror real business challenges in Oman
    • Globally recognised frameworks that ensure participants gain job-ready skills

    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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