Global Learning for Operational Leaders
Classroom
15 sessions
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Online / Live
15 sessions
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Introduction
Course overview
Why Attend
Data analysis is a core skill in today’s digital and business environments, enabling organizations to make informed, evidence-based decisions. This course introduces participants to the essential concepts, methods, and tools of data analysis. It is designed to build a strong foundation for anyone working with data, reporting, or decision support. Participants will learn how to transform raw data into meaningful insights, identify trends, and support business or operational decisions using structured analytical thinking.
Course Methodology
The course combines clear theoretical explanations with practical, hands-on exercises using real datasets. Participants will practice data cleaning, basic statistical analysis, and visualization techniques. Step-by-step guided activities will help learners understand how data is processed and interpreted. Case studies and simple analytical projects will reinforce learning and demonstrate real-world applications.
Course Objectives
By the end of this course, participants will be able to:
- Understand the basic concepts of data analysis and its importance
- Identify different types of data and data structures
- Perform basic data cleaning and preparation
- Apply simple statistical techniques for analysis
- Create basic charts and visual representations
- Interpret data to support decision-making
- Understand the data analysis workflow from start to finish
- Build confidence in working with datasets
Target Audience
- Beginners in Data Analysis and Business Intelligence
- Students and graduates entering data-related fields
- Business and Administrative Staff
- Engineers and Technical Professionals
- Managers who need basic data interpretation skills
- Anyone starting a career in analytics
Target Competencies
- Basic data handling and interpretation
- Descriptive statistics fundamentals
- Data cleaning and structuring
- Introductory data visualization
- Analytical thinking and problem-solving
- Reporting and insight generation
- Data literacy and decision support
What you will achieve
Learning objectives
- Understand the basic concepts of data analysis and its importance
- Identify different types of data and data structures
- Perform basic data cleaning and preparation
- Apply simple statistical techniques for analysis
- Create basic charts and visual representations
- Interpret data to support decision-making
- Understand the data analysis workflow from start to finish
- Build confidence in working with datasets
Who should attend
Target audience
- Beginners in Data Analysis and Business Intelligence
- Students and graduates entering data-related fields
- Business and Administrative Staff
- Engineers and Technical Professionals
- Managers who need basic data interpretation skills
- Anyone starting a career in analytics
- Target Competencies
- Basic data handling and interpretation
Methodology
Learning approach
- The course combines clear theoretical explanations with practical, hands-on exercises using real datasets. Participants will practice data cleaning, basic statistical analysis, and visualization techniques. Step-by-step guided activities will help learners understand how data is processed and interpreted. Case studies and simple analytical projects will reinforce learning and demonstrate real-world applications.
Course content
Five focused days of learning and application
Day 1
Introduction to Data Analysis
- What is data analysis and why it matters
- Types of data: qualitative vs quantitative
- Data analysis workflow overview
- Sources of data in organizations
- Introduction to analytical thinking
Day 2
Data Collection and Preparation
- Data collection methods and tools
- Understanding data quality issues
- Data cleaning basics
- Handling missing and incorrect data
- Structuring datasets for analysis
Day 3
Basic Statistical Concepts
- Measures of central tendency (mean, median, mode)
- Measures of dispersion (range, variance, standard deviation)
- Introduction to probability concepts
- Understanding data distributions
- Simple interpretation of statistical results
Day 4
Introduction to Data Visualization
- Importance of data visualization
- Basic chart types (bar, line, pie, etc.)
- Selecting the right visualization
- Common visualization mistakes
- Creating simple visual reports
Day 5
Practical Data Analysis Project
- Step-by-step mini data analysis project
- From raw data to insights
- Basic reporting and interpretation
- Presenting findings clearly
- Review and best practices
FAQ
Frequently asked questions
What does Data Analysis Fundamentals (DMBI-007) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 5 - 9 October 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
Beginners in Data Analysis and Business Intelligence, Students and graduates entering data-related fields, Business and Administrative Staff
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.
Where are classroom sessions delivered?
Current classroom venues include Munich, London, Barcelona, Amsterdam, Geneva.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 accredited training hours.
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