Global Learning for Operational Leaders
Professional training course
Certified Data Analytics Professional (CDAP)
Organizations that leverage data analytics are 23 times more likely to acquire customers and six times more likely to re... The outline covers Turning data into insights, Data collecting, organizing, and managing, Data c...
- 5 daysClassroom or online
- 13Upcoming dates
- 6Cities
- €1,925Fees from
Classroom
13 sessions
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Online / Live
13 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.
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.
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
Turning data into insights
- Introduction to the process of data analytics
- Concepts related to data analytics
- Steps in the process of data analytics
- Coffee break
- Steps in the process of data analytics (continued)
- Risks in data analytics
- Business Intelligence and business decisions
Day 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
- Coffee break
- Database types
- Distributed file systems
- Cloud solutions and their advantages
- Dependent and independent variables
- Continuous and discrete variables
Day 3
Data cleaning & Data scrubbing methods
- Data cleaning
- Data problems
- Data scrubbing methods
- Variable selection
- Coffee break
- Merging variables
- One-hot encoding
- Binning
- Data scrubbing techniques
- Data retention
Day 4
Data analyzing
- Data analytics and statistics
- Descriptive statistics and inferential statistics
- Data mining
- Machine learning
- Natural Language Processing (NLP)
- Coffee break
- Natural Language Processing (NLP) (continued)
- Methods and techniques of Natural Language Processing (NLP)
- Data and algorithms
- Regression analysis
- Classification models
- Clustering analysis
- Association analysis and Sequence mining
Day 5
Data visualizing
- Explanatory and exploratory graphics
- Types of charts
- Types of plots
- Usage of heatmaps
- Coffee break
- Usage of heatmaps (continued)
- Aesthetic design
- Visualization tools
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Certified Data Analytics Professional (CDAP). Can't find your answer?
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 21 - 25 December 2026. See the course schedules section for the available dates and delivery formats.
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.
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 Amsterdam, Kuala lumpur, Barcelona, Geneva, Munich, Rome.
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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