Global Learning for Operational Leaders
Course DMBI-007
Data Analysis Fundamentals
Data analysis is a core skill in today’s digital and business environments, enabling organizations to make informed, evi... The outline covers Introduction to Data Analysis, Data Collection and Preparation, Basic Statist...
- 5 daysClassroom or online
- 14Upcoming dates
- 5Cities
- €2,315Fees from
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
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.
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
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.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Introduction to Data Analysis
- What is data analysis and why it matters
- Types of data: qualitative vs quantitative
- Data analysis workflow overview
- Coffee break
- Data analysis workflow overview (continued)
- 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
- Coffee break
- Data cleaning basics (continued)
- 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
- Coffee break
- Introduction to probability concepts (continued)
- 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
- Coffee break
- Selecting the right visualization (continued)
- 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
- Coffee break
- Basic reporting and interpretation (continued)
- Presenting findings clearly
- Review and best practices
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Data Analysis Fundamentals. Can't find your answer?
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 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.
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?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include London, Barcelona, Munich, Amsterdam, Geneva.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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