Global Learning for Operational Leaders
Classroom
15 sessions
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Online / Live
15 sessions
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Introduction
Course overview
Organizations that leverage data analytics are 23 times more likely to acquire customers and six times more likely to retain them, according to a Forbes report. Additionally, McKinsey estimates that data-driven organizations are 23 times more likely to outperform their non-data-driven counterparts in terms of customer acquisition.
Data analytics, rooted in statistical principles dating back to Ancient Egypt, has witnessed an exponential surge in recent times due to globalization and technological advancements. With an estimated 2.5 quintillion bytes of data generated daily globally, organizations increasingly harness data to drive strategic decision-making. This surge has led to the emergence of specialized roles like data analysts, data scientists, and data engineers.
What you will achieve
Learning objectives
- Refine unstructured data from sources, such as Excel, Python, or PowerBI, into structured insights that will solve business challenges
- Understand concepts relating to generating a research question, such as collecting, cleaning, and organizing data
- Comprehend statistical methods, data mining techniques, and algorithms to support the interpretation of data
- Generate insights for the organization by illustrating findings in plots and graphs to present a business case with solidly backed insights
- Describe and illustrate Data Visualizing design techniques and utilize visualization tools
Who should attend
Target audience
- This course is designed for anyone at the start of a data analytics role, such as data/information analysts, business intelligence analysts, data administrators, business information managers, data/analytics managers and data scientists.
- This course is also suitable for those who are interested in the business benefits of data analysis and the techniques involved in it. These roles could include, but are not limited to, digital marketing/media specialists, market research analysts, business analysts, finance professionals and HR professionals.
- Target Competencies
- Data Insights
- Business Intelligence
- Cleaning Data
- Data Analysis
- Data Visualization
Methodology
Learning approach
- This is an interactive course, preparing participants both for the EXIN examination and real life applications with hands-on exercises. Course training techniques include visualization, group discussions, exercises, and presentations.
Course content
Course outline and key learning areas
Module 1
Turning data into insights
- Introduction to the process of data analytics
- Concepts related to data analytics
- Steps in the process of data analytics
- Risks in data analytics
- Business Intelligence and business decisions
Module 2
Data collecting, organizing, and managing
- Data collection channels
- Sourcing public data
- Contemporary data laws and compliance
- Raw data, structured data, unstructured data and big data
- Database types
- Distributed file systems
- Cloud solutions and their advantages
- Dependent and independent variables
- Continuous and discrete variables
Module 3
Data cleaning
- Data problems
Module 4
Data scrubbing methods
- Variable selection
- Merging variables
- One-hot encoding
- Binning
- Data scrubbing techniques
- Data retention
Module 5
Data analyzing
- Data analytics and statistics
- Descriptive statistics and inferential statistics
- Data mining
- Machine learning
- Natural Language Processing (NLP)
- Methods and techniques of Natural Language Processing (NLP)
- Data and algorithms
- Regression analysis
- Classification models
- Clustering analysis
FAQ
Frequently asked questions
What does Certified Data Analytics Professional (CDAP) 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 19 - 23 October 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
This course is designed for anyone at the start of a data analytics role, such as data/information analysts, business intelligence analysts, data administrators, business information managers, data/analytics managers and data scientists., This course is also suitable for those who are interested in the business benefits of data analysis and the techniques involved in it. These roles could include, but are not limited to, digital marketing/media specialists, market research analysts, business analysts, finance professionals and HR professionals., Target Competencies
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 Rome, Munich, Amsterdam, Kuala lumpur, Barcelona, 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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