Data Analyst Course in Saudi Arabia

12 immersive modules & professional capstone projects

Comprehensive Data Analytics & AI-Enhanced Reporting Program

85 hours of AI integration training

Copilot & Automation Sandbox for work efficiency

Flexible learning modes & easy payment options

4.85/5

5568 EnrolledEnrolled Learners

4.85/5

5568 EnrolledEnrolled Learners

Overview

Our training will help professionals in the following ways:

Covers Excel, SQL, Power BI, Python, and AI-powered analytics tools
Spans structured modules covering end-to-end data analysis and reporting workflows
Develops data extraction, transformation, statistical analysis, and predictive analytics skills
Builds Power BI dashboards using DAX, data modelling, and reporting workflows
Integrates Microsoft Copilot and Fabric for AI-assisted analytics and automation
Enables automated reporting, predictive insights, and data-driven business decision-making

Upcoming sessions

Curriculum

Evolution of Data Analytics

Modern Analyst vs Traditional Analyst

AI-Powered Decision Intelligence

Data-Driven Business Culture

Understanding Business KPIs

Business Problem Solving Frameworks

Analytics Lifecycle

Introduction to AI in Analytics

Responsible AI Fundamentals

AI Integration

Analyze business KPIs and performance drivers.
Generate AI-assisted business insights and decision support.

Activities/Case Study

Business Decision Simulation

Excel Interface & Modern Workflows

Data Cleaning Techniques

Data Validation

Advanced Formulas

XLOOKUP

INDEX-MATCH

IF Logic

PivotTables & PivotCharts

Power Query Basics

Dashboard Development

Business Reporting Automation

Generate formulas and reporting logic using AI.

Automate spreadsheet analysis and dashboard insights.

AI Integration

Generate formulas and reporting logic using AI
Automate spreadsheet analysis and dashboard insights

Activities/Case Study

Business Decision Simulation

SQL Fundamentals

Filtering & Sorting

Joins

Aggregations

Subqueries

Common Table Expressions (CTEs)

Window Functions

Query Optimization

Business Data Extraction

Reporting Logic

AI Integration

Convert business questions into SQL queries
Optimize SQL performance and debugging workflows

Activities/Case Study

Sales Intelligence Reporting

Power BI Ecosystem

Data Import & Connectivity

Power Query

Data Transformation

Relationship Management

Data Modeling Basics

Star Schema Foundations

AI Integration

Analyze data quality and transformation opportunities
Generate reporting insights from imported datasets

Activities/Case Study

Data Cleaning Workflow

Data Modeling Best Practices

Star vs Snowflake Schema

Measures vs Calculated Columns

DAX Fundamentals

Time Intelligence

KPI Calculations

Context Transition

Advanced DAX

Performance Optimization

AI Integration

Generate DAX measures and calculations
Optimize data models and reporting performance

Activities/Case Study

HR KPI Dashboard

Dashboard Design Principles

Executive Reporting

KPI Storytelling

Drillthrough Features

Interactive Analytics

Mobile Dashboard Optimization

Smart Narratives

AI Visuals

Business Presentation Techniques

AI Integration

Generate executive narratives from dashboards
Support storytelling and insight communication

Activities/Case Study

Country-Level Performance Dashboard

Power BI Service

Workspaces

Publishing Reports

Data Refresh

Row-Level Security

Collaboration Features

Governance Basics

Deployment Pipelines

AI Integration

Monitor dashboard usage and performance
Support governance and deployment decisions

Activities/Case Study

Secure Dashboard Sharing

Microsoft Fabric Overview

OneLake Concepts

Lakehouse Architecture

Fabric Dataflows

Semantic Models

Real-Time Analytics

Fabric + Power BI Integration

Enterprise Analytics Architecture

Data Governance Fundamentals

Azure Analytics Ecosystem

Snowflake Overview

Databricks Overview

BigQuery Overview

dbt Awareness

AI Integration

Analyze enterprise data architecture requirements
Support modern analytics platform design decisions

Activities/Case Study

Enterprise Reporting Architecture Design

Prepare Data

Model Data

Visualize Data

Analyze Data

Deploy & Maintain Assets

AI Integration

Analyze certification readiness and knowledge gaps
Support DAX optimization and dashboard best practices

Activities/Case Study

Enterprise Reporting Scenario

Python Fundamentals

Variables & Functions

Jupyter Notebooks

NumPy

Pandas

Data Wrangling

Data Cleaning

Exploratory Data Analysis (EDA)

Aggregation Techniques

Automation Scripts

Reporting Automation

AI Integration

Generate Python scripts and automation workflows
Support debugging and code optimization

Activities/Case Study

Data Cleaning Pipeline

Descriptive Analytics

Diagnostic Analytics

Forecasting Concepts

Correlation Analysis

Business Statistics

Probability Concepts

Hypothesis Testing

A/B Testing

Predictive Analytics Foundations

Generate forecasts and predictive insights.

Interpret statistical results and business outcomes.

AI Integration

Generate forecasts and predictive insights
Interpret statistical results and business outcomes

Activities/Case Study

Customer Trend Analysis

Introduction to LLMs

Prompt Engineering for Analysts

AI Research Workflows

AI-Powered Reporting

AI Dashboard Narratives

Chat-with-Data Systems

AI Agents Basics

Workflow Automation

Responsible AI

AI Hallucination Validation

AI Integration

Build AI-powered reporting and analytics assistants
Automate insight generation and business intelligence workflows

Activities/Case Study

AI Insight Generator

Participants assume the role of a business analytics team responsible for supporting executive leadership across Finance, Sales, HR, Operations, Procurement, and Customer Experience functions.

Working within a complex enterprise environment, teams are required to collect, clean, transform, model, analyze, visualize, automate, and communicate business data to support strategic decision-making.

Leveraging Power BI, Microsoft Fabric, SQL, Python, Predictive Analytics, and Generative AI technologies, participants develop integrated analytics solutions that provide meaningful business insights, executive reporting capabilities, and decision intelligence across multiple functional areas.

Throughout the simulation, participants define enterprise KPI frameworks, transform large-scale datasets, build analytical models, develop executive dashboards, perform predictive forecasting, and automate reporting processes.

The exercise replicates real-world analytics operations where business leaders depend on accurate insights, forecasting capability, and data-driven recommendations to improve organizational performance, operational efficiency, and long-term strategic planning.

Participants operate within an enterprise analytics automation environment where organizations seek to reduce manual reporting effort, improve analytical efficiency, and accelerate decision-making through intelligent automation.

Using Python, SQL, Power BI, Microsoft Fabric, and Generative AI technologies, participants design and implement automated workflows capable of collecting, transforming, analyzing, and presenting business data while supporting real-time reporting, forecasting, and executive intelligence requirements.

The sandbox environment focuses on building scalable analytics automation ecosystems that integrate AI-assisted insight generation, predictive analytics models, automated dashboard refresh processes, KPI monitoring systems, and intelligent reporting assistants.

Participants develop practical experience in creating end-to-end automation solutions that improve reporting accuracy, enhance business visibility, streamline analytical operations, and support enterprise-wide decision intelligence initiatives.

Meet your Trainer

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learning Outcomes

Successful completion of Data Analyst training will help professionals in Saudi Arabia in the following ways:

Apply advanced Excel functions and PivotTables to analyse business datasets

Write SQL queries to extract, transform, and manipulate structured business data

Build interactive Power BI dashboards using DAX measures and data modelling

Use Microsoft Copilot and Fabric for AI-assisted analytics and automated reporting

Perform statistical analysis, hypothesis testing, and A/B testing for business decisions

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.

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

A Data Analyst course is important in Saudi Arabia as organisations increasingly rely on data-driven decision-making, business intelligence, and AI-powered reporting.
With Vision 2030 accelerating digital transformation, companies are investing in analytics tools, structured data systems, and reporting frameworks.

This creates strong demand for professionals who can manage end-to-end data workflows, from data extraction and analysis to dashboard development and insight generation.

This course is designed for junior and mid-level professionals who want to build practical data analytics skills for business decision-making. It is ideal for professionals working in finance, operations, sales, marketing, HR, supply chain, healthcare, retail, and government sectors, as well as graduates and career switchers looking to gain hands-on experience in SQL, Python, Power BI, and AI-powered analytics.

Yes. The course includes AI-powered analytics using Microsoft Copilot and Microsoft Fabric. Participants learn how to automate reporting, generate insights, and enhance dashboards in Power BI using AI-assisted workflows. These capabilities are increasingly important in modern organisations that rely on real-time analytics and intelligent reporting systems.

Yes. Data analytics skills are in high demand across Saudi Arabia, especially in roles such as Data Analyst, Business Intelligence Analyst, and Reporting Analyst. This course prepares professionals with practical, job-ready skills in SQL, Power BI, Python, data modelling, and analytics workflows, which are commonly required by employers across industries.

Learners Point offers a structured, practical, and industry-focused training program. The course includes 60 hours of training, 12 modules, hands-on projects, expert-led sessions, AI integration, and career support, helping participants build job-ready skills for data analytics roles in Saudi Arabia.

No advanced coding knowledge is required. The course is designed to help beginners and working professionals build skills step by step, starting with fundamentals and progressing to tools like SQL and Python in a structured and practical manner.

Participants will gain hands-on experience with: