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KHDA

Business Analyst Course in Jordan

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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5035 EnrolledEnrolled Learners

Overview

What our training includes:

  • Build practical expertise in business analysis and stakeholder collaboration
  • Sharpen your requirements-gathering and process optimisation skills
  • Convert raw data into actionable insights using Excel, SQL, and forecasting techniques
  • Build interactive Power BI dashboards to track KPIs and monitor business performance
  • Apply Generative AI to accelerate reporting, documentation, and business analysis workflows
  • Present data effectively to management through dashboards and visual storytelling
  • Practise Agile delivery, product ownership, and solution evaluation techniques
  • Support better business decisions using BI tools and AI-driven 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

    Use core business analysis methods to tackle organizational problems and drive better outcomes

  • 2

    Translate stakeholder needs into clear, actionable business requirements

  • 3

    Build executive dashboards that surface KPIs and track performance

  • 4

    Assess and refine business solutions using Agile practices, analytics, and performance data

  • 5

    Apply Generative AI to speed up documentation, reporting, and analysis

  • 6

    Drive enterprise transformation through process optimisation and data-driven decision-making

  • 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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    Frequently asked questions

    The Business Analyst Course in Jordan is an 85-hour training program designed for participants who want structured, practical learning in modern business analysis. It is built to move beyond theory and help participants develop skills that are directly applicable in real business environments.

    The training is structured around hands-on workshops, case studies, simulations, dashboard projects, and an automation sandbox. It also includes practical learning in Excel, SQL, Power BI, Agile business analysis, predictive analytics, and Generative AI, enabling professionals to apply concepts with confidence in real-world scenarios.

    No, a technical background is not essential to start a career in business analysis in Jordan. This field values analytical thinking, communication, problem-solving, and an understanding of business needs more than deep technical expertise.

    Many participants begin by learning requirements engineering, stakeholder management, Excel, SQL, and Power BI. With the right training and practical exposure, participants can build confidence and move into business analysis step by step.

    This Business Analyst Training in Jordan provides participants with practical exposure to the core tools used in modern business analysis, reporting, and decision support. The focus is on building workplace-ready capabilities through software that supports analysis, documentation, and visual communication.

    Some of the key tools and software covered in this training include:

    • Excel for data cleaning, advanced formulas, pivot tables, and reporting automation.
    • SQL for data extraction, filtering, joins, aggregations, and reporting logic development.
    • Power BI for data modelling, interactive dashboards, executive reporting, and data storytelling.
    • Microsoft Fabric for modern analytics workflows and enterprise-level data integration and support.
    • Jira for Agile tracking, backlog management, and solution evaluation.
    • Lucidchart for process mapping, workflow design, and business analysis visualisation.

    Yes, business analysis is a strong career option in Jordan right now because employers are actively seeking professionals who can bridge business needs, process improvement, and data-driven decision-making. Current job listings in Jordan show demand for business analyst capabilities in both corporate and technology settings.

    For participants who build skills in requirements gathering, stakeholder communication, process analysis, and analytics tools, the path looks promising. The field also aligns well with modern digital transformation efforts, making it a practical and future-oriented choice in Jordan.

    A business analyst focuses on understanding business needs, improving processes, and translating stakeholder requirements into practical solutions. The role is more about communication, problem-solving, and aligning business goals with delivery outcomes.

    A data analyst, by contrast, works more deeply with data to find patterns, trends, and insights that support decisions. While both roles use analytics, participants aiming for business analysis usually work more closely with requirements, processes, and stakeholders, whereas data analysts focus more on data interpretation and reporting.

    Yes, this training program includes PL-300 certification preparation through dedicated labs, mock tests, and practical Power BI exercises. It is designed to help participants build confidence in the core skills covered in the PL-300 path, especially data preparation, data modelling, visualisation, and reporting.

    The course also supports hands-on practice with Power BI in real business scenarios, so that participants can strengthen both exam readiness and workplace application. This makes the preparation more practical, structured, and relevant for modern analytics roles.

    Learners Point stands out for offering a practical, structured, and career-focused approach to business analysis. The training is designed to help participants build real workplace capability through hands-on learning and modern tools.

    Reasons why Learners Point is a leading institution for this training:

    • Strong focus on business analysis, requirements engineering, and stakeholder management.
    • Practical learning in Excel, SQL, Power BI, Microsoft Fabric, and Generative AI.
    • Includes PL-300 practice labs, simulations, case studies, and an automation sandbox.
    • Covers Agile business analysis, product ownership, and solution evaluation.
    • Supports dashboard development, KPI reporting, and data-driven decision-making.

    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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