Business Analyst Certification in Saudi Arabia
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
4.85/55276 EnrolledEnrolled Learners
4.85/55276 EnrolledEnrolled Learners
Overview
What you will learn:
- Gain practical business analytics skills through hands-on training tailored to Saudi industry demands
- Learn to analyse business data and generate insights using globally relevant tools and techniques
- Build interactive dashboards and reports aligned with organisational goals and performance metrics
- Develop expertise in SQL, Power BI, and Tableau through guided projects and simulations
- Work on real-world scenarios reflecting business operations across various sectors in KSA
- Strengthen your ability to support decision-making with data-driven reporting and analysis
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
- Analyze business KPIs and performance drivers
- Generate AI-assisted business insights and recommendations
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
- Copilot for Excel
- AI-Assisted Formula Generation
- AI-Powered Reporting
- Natural Language Data Analysis
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
- Natural Language to SQL
- AI-Assisted Query Writing
- Query Optimization using AI
- AI Debugging Workflows
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
- Analyze data quality and transformation opportunities
- Generate reporting insights from imported datasets
Activities/Case Study
- Procurement Intelligence Dashboard
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-Assisted DAX Generation
- Copilot for Power BI
- DAX Optimization using AI
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
- Generate executive dashboard narratives
- Support business storytelling and insight communication
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
- Monitor dashboard usage and reporting performance
- Support governance and deployment decisions
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
Analyze enterprise data architecture requirements.
16
Support modern analytics platform design decisions.
AI Integration
- Analyze enterprise data architecture requirements
- Support modern analytics platform design decisions
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
- 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
21
Analyze stakeholder needs and business challenges.
22
Generate stakeholder communication plans and business analysis insights.
AI Integration
- Analyze stakeholder needs and business challenges
- Generate stakeholder communication plans and business analysis insights
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
- Generate requirements documentation and user stories
- Analyze process gaps and recommend improvement opportunities
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
- Generate product backlog items and Agile documentation
- Support solution evaluation and KPI-driven business decision-making
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-Powered Forecasting
- Automated Statistical Interpretation
- AI-Assisted Business Insights
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
- Build AI-powered business analysis assistants
- Automate reporting, documentation, and insight generation
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
Learning Outcomes
By the end of this course, you will be able to:
1
Perform advanced data cleaning, transformation, and reporting using Excel functions and tools effectively
2
Write efficient SQL queries to extract, manipulate, and analyse structured business datasets
3
Design interactive dashboards in Power BI and Tableau aligned with organizational KPIs
4
Apply DAX formulas to create calculated measures and optimise data models in Power BI
5
Translate business requirements into structured analytical solutions for real-world business challenges
6
Develop insightful reports that support strategic and operational business decision-making processes
7
Communicate analytical findings clearly to stakeholders using structured reporting and storytelling techniques
8
Work on practical datasets and case scenarios reflecting real-world business analysis environments
9
Build a strong portfolio showcasing end-to-end business analysis and data-driven project experience
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.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
The Business Analyst Certification in Saudi Arabia helps you understand how to work with business data and turn it into useful insights. You learn how to organise data, analyse patterns, and present findings in a way that supports decision-making.
The training focuses on:
- Working with data using Excel and SQL
- Building reports and dashboards
- Understanding how businesses use data to make decisions
This makes it easier to understand how data is applied in real business situations.
Starting as a fresher, this training helps you build a strong foundation in data handling and analysis. Instead of focusing only on theory, you will work on structured tasks that reflect real job responsibilities.
You will develop practical skills in reporting, data interpretation, and dashboard creation, which are commonly expected in entry-level roles. This makes it easier to step into positions that require analytical thinking and basic data skills.
This program focuses on building both technical and analytical skills required in business analysis roles. You will learn how to handle data, interpret results, and present insights effectively.
Key skills include:
- Data cleaning and preparation
- SQL-based data extraction and querying
- Dashboard development using Power BI and Tableau
- Data analysis and interpretation
- Structured reporting and communication of insights
These skills are essential for working with data in a professional environment.
Yes, the Business Analyst Certification in Saudi Arabia is suitable for individuals from non-technical backgrounds as well. The program does not require coding knowledge and instead focuses on tools and analytical thinking.
It is designed to help you gradually understand how data is used in business processes, making it accessible for learners transitioning from non-IT roles.
This training is structured to simulate how business analysts work in actual organisational settings. Instead of isolated exercises, you will perform tasks that reflect real analytical workflows.
You will gain experience through:
- Working with structured datasets similar to those used in companies
- Performing data cleaning, querying, and transformation tasks
- Building dashboards and reports for decision-making purposes
- Understanding how insights are communicated to stakeholders
This approach helps you build practical experience, making it easier to apply your skills in real job environments.
Yes, this program is designed to prepare learners for entry-level roles by focusing on practical skills that are directly used in the workplace.
You will learn how to work with data, create reports, and support business decisions—skills that are commonly required in junior analyst and reporting positions across industries.
Yes, we provide the Business Analyst training in other GCC countries or regions for non-Saudi residents. Our training in Business Analytics helps candidates across diverse locations reach their certification goals.
The Business Analyst course in Saudi Arabia integrates Microsoft Copilot across key modules such as Excel, SQL, Power BI, and Tableau to help participants work more efficiently with data analysis, reporting, and dashboard-related tasks. In addition, the Automation Sandbox gives learners a practical environment to review workflows, identify process gaps, and organise tasks in a more automation-ready manner.
The Business Analyst course in Saudi Arabia prepares you for a role that connects business operations with technology. While you will work with data and tools, the role itself is not purely technical.
It involves understanding business needs, analysing information, and helping organisations make better decisions without requiring deep programming knowledge.
The Business Analyst Certification in Saudi Arabia is designed to match the practical skills currently expected in data-driven roles across industries. The program focuses on how organisations use data to improve operations, monitor performance, and support decision-making.
It aligns with industry needs by covering:
- Data analysis and reporting workflows used in real business environments
- Tools like Excel, SQL, Power BI, and Tableau that are widely used across organisations
- Practical tasks such as dashboard creation, data interpretation, and reporting
This ensures that learners develop skills that are directly applicable in professional roles rather than theoretical knowledge alone.
The Business Analyst Certification in Saudi Arabia includes training on widely used tools that support data analysis and reporting workflows.
You will learn:
- Microsoft Excel for data preparation and analysis
- SQL for querying structured data
- Power BI with DAX for dashboard creation
- Tableau for visualising and presenting insights
These tools are commonly used together in real-world business environments.
After completing this program, you can explore roles that involve working with data and supporting business decisions. These roles are available across multiple industries.
Common job roles include:
- Business Analyst
- Data Analyst
- Reporting Analyst
- Junior Analytics roles
Your progression will depend on how effectively you apply your skills in real-world scenarios.
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