Available Dates & Venues
Classroom Schedule
| Date | Venue | Format | Fees | Registration |
|---|---|---|---|---|
| August 1, 2026 - August 6, 2026 | Saudi Arabia - Dammam | Classroom | USD 0.00 | Registration closed |
Introduction
Data has become the foundation of modern business decision‑making. Organizations across all sectors—government, energy, finance, healthcare, manufacturing, and services—depend on accurate, timely, and well‑structured data analysis to drive performance, optimize operations, and support strategic planning. Yet many professionals lack the analytical techniques required to transform raw data into meaningful insights.
Data analysis is more than using tools; it is a structured approach to understanding patterns, identifying trends, diagnosing problems, and generating actionable recommendations. Professionals must know how to clean data, apply analytical methods, interpret results, and communicate insights clearly to stakeholders.
In the Middle East, where digital transformation is accelerating and data‑driven decision‑making is becoming a national priority, organizations expect employees to possess strong analytical capabilities. Whether working in HR, finance, operations, supply chain, or strategy, professionals must be able to analyze data confidently and accurately.
This GTMCS Certificate in Data Analysis Techniques provides a comprehensive, practical, and industry‑aligned foundation in analytical thinking, data preparation, statistical techniques, and insight generation. Participants will learn how to apply structured analytical methods to solve business problems and support decision‑making.
This training course will highlight:
- Core data analysis concepts and frameworks
- Data cleaning, preparation, and transformation
- Descriptive, diagnostic, and predictive analysis techniques
- Statistical methods for business decision‑making
- Insight generation and communication
Course Benefits
- Strengthen analytical thinking and problem‑solving skills
- Improve accuracy and reliability of business analysis
- Learn practical techniques for data cleaning and preparation
- Apply statistical methods to real‑world business scenarios
- Enhance decision‑making through structured analysis
- Build confidence in interpreting and presenting insights
Tools & Technologies Covered
- Microsoft Excel (analysis functions)
- Power Query for data preparation
- Power BI (basic analytics)
- Statistical analysis techniques
- Data storytelling frameworks
Practical Workshops
- Data cleaning and transformation exercises
- Descriptive and diagnostic analysis workshop
- Statistical analysis for business decisions
- Insight generation and storytelling practice
- Real‑world business analysis simulation
Real‑World Case Studies
- Workforce analytics and HR decision‑making
- Financial performance and variance analysis
- Operational efficiency and KPI diagnostics
- Customer behavior and trend analysis
- Government service performance reporting
Industry Relevance
This course is essential for:
- Government and public sector analysts
- Oil & gas, petrochemical, and industrial operations
- Banking and financial services
- HR, finance, and operations teams
- Strategy, planning, and business support functions
- Anyone responsible for analyzing or interpreting data
Future Skills Alignment
- Analytical thinking and problem‑solving
- Data preparation and transformation
- Statistical literacy for business
- Insight generation and communication
- Data‑driven decision‑making
Objectives
By the end of this training course, participants will be able to:
- Understand and apply core data analysis techniques
- Clean, prepare, and transform data effectively
- Use descriptive and diagnostic analysis methods
- Apply statistical techniques to business problems
- Interpret analytical results accurately
- Communicate insights clearly and professionally
Training Methodology
- Expert‑led demonstrations
- Hands‑on analytical exercises
- Case study analysis and group discussions
- Scenario‑based problem‑solving workshops
- Daily knowledge checks and practical assignments
Organisational Impact
- Improved quality and reliability of business analysis
- Faster and more informed decision‑making
- Enhanced operational and strategic performance
- Stronger analytical capability across departments
- Reduced errors and inconsistencies in reporting
Personal Impact
- Strong analytical and problem‑solving skills
- Improved confidence in working with data
- Enhanced ability to interpret and present insights
- Greater professional credibility
- Career advancement in data‑driven roles
Who Should Attend?
- Analysts and reporting specialists
- HR, finance, and operations professionals
- Administrative and business support staff
- Strategy and planning teams
- Anyone responsible for analyzing business data
Certificates
Upon successful completion of this training course, participants will receive a GTMCS Certificate of Completion.
Curriculum
- 5 Sections
- 19 Lessons
- 10 Weeks
- Day 1 – Foundations of Data Analysis3
- Day 2 – Data Cleaning & Preparation4
- Day 3 – Descriptive & Diagnostic Analysis4
- Day 4 – Statistical Techniques for Business4
- Day 5 – Insight Generation & Final Project4




