Data Analyst Course in Qatar

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

5165 EnrolledEnrolled Learners

4.85/5

5165 EnrolledEnrolled Learners

Overview

You will learn the following in this course:

Build expertise in modern data analytics, KPI analysis, and AI-driven decision-making
Use advanced Excel functions, PivotTables, Power Query, and dashboards
Analyse and interpret organizational datasets using advanced SQL techniques
Create Power BI dashboards, data models, and DAX calculations
Publish and manage secure enterprise dashboards through Power BI Service
Explore Microsoft Fabric, OneLake, lakehouses, and modern data analytics ecosystems
Streamline data cleaning, analysis, and reporting workflows with Python
Apply statistics, forecasting, predictive modelling, and Generative AI to business analytics

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

AI Integration

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

Activities/Case Study

Sales KPI Tracker

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

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

After completing this program, participants will be able to:

Convert unprocessed organizational datasets into accurate, actionable intelligence

Produce executive summaries that highlight performance patterns and support data-driven recommendations

Assess dataset integrity and enhance analytical workflow efficiency

Optimise recurring reporting workflows to support faster business decision-making

Interpret statistical results and apply forecasting techniques to assess potential business outcomes

Enable corporate choices using ethical, AI-driven analytics solutions

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.

Overall ratings by our students

Related courses

Learn now, pay later

Dive into your course now and pay in installments

Frequently asked questions

The Data Analyst Course in Qatar is important because organizations increasingly depend on professionals who can interpret complex data and convert it into reliable business insights. Qatar’s digital-transformation initiatives are also increasing attention to AI, data science, and analytics capabilities, making structured upskilling valuable for professionals.

This training program develops an integrated foundation across Power BI, SQL, Python, Excel, Microsoft Fabric, statistics, predictive analytics, and Generative AI. Participants also practise data modelling, dashboard communication, automation, forecasting, and responsible AI, helping them connect technical analysis with practical business decisions.

Yes. The Data Analyst Course in Qatar is an 85-hour program designed to develop integrated analytics capabilities across Excel, SQL, Power BI, Microsoft Fabric, Python, statistics, predictive analytics, Generative AI, reporting, and data storytelling.

Alongside essential theoretical concepts, the program includes practical workshops, case studies, simulations, projects, dashboard labs, automation activities, and certification-focused exercises.

The Data Analyst Course in Qatar develops practical capabilities that help participants connect data preparation, analysis, visualisation, automation, and business communication in realistic organizational contexts.

The practical capabilities developed through this training include:

Prepare and transform business data for accurate analytical use.
Build Power BI dashboards with data models and DAX.
Extract business information through structured SQL querying.
Automate reporting workflows using Python and Generative AI.
Apply forecasting and statistics to interpret business performance.
Communicate insights clearly through executive reporting and storytelling.

Yes. The Data Analyst Training Program in Qatar is suitable for working professionals because it develops practical, workplace-focused analytics capabilities across business and technical functions. Its structured format covers key stages of the analytics lifecycle while connecting concepts to realistic organizational requirements.

Participants can apply their experience through business datasets, case studies, dashboard projects, enterprise simulations, reporting exercises, automation workflows, and executive storytelling activities. The program also covers Excel, SQL, Power BI, Python, Microsoft Fabric, predictive analytics, and Generative AI, helping professionals develop transferable analytics capabilities across industries.

Yes. This course includes advanced Excel analytics for business reporting and data preparation. Participants cover data-cleaning techniques, data validation, advanced formulas, XLOOKUP, INDEX-MATCH, IF logic, PivotTables, PivotCharts, Power Query, dashboard development, and reporting automation.

The module connects these capabilities with realistic applications, including an HR reporting dashboard, sales KPI tracker, and financial reporting automation project. Participants also explore AI integration to generate formulas, develop reporting logic, automate spreadsheet analysis, and produce dashboard insights, helping them apply Excel more effectively within broader analytics workflows.

This course uses Generative AI to help participants enhance reporting, insight generation, dashboard communication, and analytics automation. It combines AI concepts with practical business intelligence workflows.

Here is how Generative AI is used in this training:

Generate AI-assisted insights from business KPIs and performance data.
Create dashboard narratives that explain findings for decision-makers.
Convert business questions into SQL queries through natural-language prompting.
Build AI reporting assistants for recurring analytics workflows.
Develop chat-with-data systems for conversational analysis.
Validate AI outputs responsibly by checking hallucinations and unsupported conclusions.

Yes. The Data Analyst Course in Qatar includes a dedicated PL-300 Dashboard Lab within its certification alignment track. Participants use this practical activity to apply Power BI concepts in a structured reporting environment, connecting examination preparation with hands-on dashboard development.

The lab includes an enterprise reporting case study and a mock PL-300 certification readiness assessment. Together, these activities help participants practise dashboard design, data modelling, DAX calculations, visualisation, and reporting decisions while identifying areas requiring further preparation.

The AI-powered automation sandbox gives participants a practical environment for designing AI-enabled analytics workflows. It connects Python, SQL, Power BI, Microsoft Fabric, predictive analytics, and Generative AI with practical reporting and decision-support requirements.

The AI-powered automation sandbox includes the following:

Collect and transform business data through automated analytics workflows.
Generate AI-assisted insights to support reporting and decision intelligence.
Build predictive analytics models for forecasting and performance analysis.
Automate dashboard refreshes and KPI monitoring processes.
Develop intelligent reporting assistants for enterprise analytics activities.
Present automated findings through dashboards, forecasts, and executive reports.

Learners Point stands out for Data Analyst Training in Qatar through its workplace-focused approach, combining technical tools, business applications, AI-enabled analytics, and structured certification readiness for stronger professional capability.

Key features of Learners Point's Data Analyst Training in Qatar include:

Established training provider: Founded in 2001, with extensive professional training experience.
Integrated curriculum: Covers Excel, SQL, Power BI, Python, Microsoft Fabric, statistics, and Generative AI.
Practical learning: Includes projects, case studies, simulations, dashboard labs, and enterprise reporting activities.
PL-300 alignment: Provides a dedicated Microsoft PL-300 certification readiness track.
Workplace application: Connects analytics skills with reporting, forecasting, automation, and executive decision-making.
Regional experience: Serves professionals across the GCC and wider MENA region.