Data Analyst Course in Bahrain
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
4.85/55568 EnrolledEnrolled Learners
4.85/55568 EnrolledEnrolled Learners
Overview
This course will help you learn the following:
- Mastering modern data analytics, KPIs, and AI-powered decision intelligence
- Applying Excel formulas, PivotTables, Power Query, and dashboard automation
- Extracting and analysing business data using advanced SQL querying
- Building Power BI dashboards, data models, and DAX calculations
- Deploying secure enterprise reports through Power BI Service
- Exploring Microsoft Fabric, OneLake, lakehouses, and analytics ecosystems
- Automating data analysis, cleaning, and reporting workflows using Python
- Using statistics, forecasting, predictive analytics, and Generative AI
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
AI Integration
- Analyze business KPIs and performance drivers
- Generate AI-assisted business insights and decision support
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
- Generate formulas and reporting logic using AI
- Automate spreadsheet analysis and dashboard insights
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
- Convert business questions into SQL queries
- Optimize SQL performance and 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
- 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
- Generate DAX measures and calculations
- Optimize data models and reporting performance
Activities/Case Study
- HR KPI 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 narratives from dashboards
- Support 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 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
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
AI Integration
- Analyze certification readiness and knowledge gaps
- Support DAX optimization and dashboard best practices
Activities/Case Study
- Enterprise Reporting Scenario
1
Python Fundamentals
2
Variables & Functions
3
Jupyter Notebooks
4
NumPy
5
Pandas
6
Data Wrangling
7
Data Cleaning
8
Exploratory Data Analysis (EDA)
9
Aggregation Techniques
10
Automation Scripts
11
Reporting Automation
AI Integration
- Generate Python scripts and automation workflows
- Support debugging and code optimization
Activities/Case Study
- Data Cleaning Pipeline
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
- Generate forecasts and predictive insights
- Interpret statistical results and business outcomes
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
AI Integration
- Build AI-powered reporting and analytics assistants
- Automate insight generation and business intelligence workflows
Activities/Case Study
- AI Insight Generator
1
Participants assume the role of a business analytics team responsible for supporting executive leadership across Finance, Sales, HR, Operations, Procurement, and Customer Experience functions.
2
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.
3
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.
4
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.
5
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.
1
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.
2
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.
3
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.
4
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 successful completion of the training program, you will be able to:
1
Transform raw business data into clear, actionable organizational insights for informed decision-making
2
Design executive reports that communicate performance trends and recommendations
3
Evaluate data quality and improve analytical workflow efficiency
4
Automate recurring reporting processes to support faster business decisions
5
Interpret statistical findings and forecast future business performance
6
Support enterprise decision-making through responsible, AI-enabled analytics solutions
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 Data Analyst Course in Bahrain teaches professionals how to turn business questions into structured analytical solutions. Participants develop a practical understanding of KPIs, data quality, analytical reasoning, business statistics, and decision intelligence, enabling them to evaluate performance and identify meaningful patterns.
Through guided scenarios, participants practise interpreting results, validating AI-generated insights, building reliable reporting logic, and presenting evidence clearly to stakeholders. This training also introduces responsible AI, helping participants use automation thoughtfully while recognising limitations such as inaccurate outputs, weak assumptions, and unsupported conclusions.
Yes. The Data Analyst Course in Bahrain includes a dedicated Microsoft PL-300 certification alignment track to help participants build relevant Power BI knowledge and practical readiness. The course covers data preparation, modelling, visualisation, analysis, deployment, and maintenance, which are key areas assessed in the PL-300 examination.
Participants strengthen their preparation through a PL-300 dashboard lab, enterprise reporting case study, and mock readiness assessment. They also practise Power Query, DAX, data modelling, dashboard development, performance optimisation, and secure report sharing, helping connect examination concepts with realistic business analytics applications.
The Data Analyst Course in Bahrain lasts 85 hours in total. This structured duration provides sufficient time to develop practical capability across business analytics, reporting, data preparation, visualisation, automation, forecasting, and AI-enabled analysis.
This program combines guided instruction with case studies, practical exercises, simulations, projects, dashboard labs, and certification-focused activities.
Yes. The Data Analyst Course in Bahrain includes practical projects that allow participants to apply analytics concepts to structured business scenarios. These activities cover areas such as financial reporting automation, customer analytics, inventory and supply chain analysis, executive dashboard development, procurement intelligence, and exploratory data analysis.
Participants also complete applied work in automated KPI reporting, data-cleaning pipelines, sales forecasting, marketing performance analysis, and AI-powered reporting. Alongside these projects, enterprise simulations require participants to connect data preparation, modelling, visualisation, automation, forecasting, and executive communication into integrated analytics solutions.
This training uses Generative AI for data analytics by showing participants how to support reporting, insight generation, dashboard communication, and workflow automation. It presents AI as an analytical support capability that still requires professional judgement, validation, and responsible use.
Generative AI is applied in the training to:
- Generate AI-assisted business insights from business questions and data.
- Create reporting narratives that explain dashboard findings clearly.
- Develop chat-with-data systems for conversational analytical exploration.
- Build AI reporting assistants for recurring intelligence workflows.
- Automate insight generation across business intelligence processes.
- Validate AI outputs by checking hallucinations and unsupported conclusions.
Professionals should choose Learners Point for Data Analyst training in Bahrain because this program combines structured guidance, practical application, enterprise scenarios, and modern analytics technologies.
Reasons why professionals choose Learners Point for this training:
- Learn through practical application linked to workplace analytics challenges.
- Build integrated capability across Excel, SQL, Power BI, Python, and AI.
- Practice enterprise analytics through simulations covering multiple business functions.
- Strengthen professional readiness with projects, case studies, and applied assessments.
- Develop responsible AI awareness alongside modern reporting and decision intelligence.
- Study with an established provider operating since 2001 and serving over 500,000 professionals.
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- Understand about our methodology
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