Global Learning for Operational Leaders
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Catalyze impactful change in your organization with this in-depth course on data analytics. Designed with a focus on practical application, this course aims to equip participants with a comprehensive understanding of the transformative role of data analytics in modern decision-making processes. Participants will learn to formulate data-driven questions that align with their organization's objectives, identify suitable data sources, and analyze large datasets using advanced Excel techniques. In addition, participants in this course will acquire the skills needed to create compelling data visualizations that can be used to present data-driven insights.
What you will achieve
Learning objectives
- Evaluate the role of data analytics in improving organizational decision making
- Formulate data-driven analytical questions tied to business objectives
- Identify suitable data sources and ensure the accuracy of collected information
- Analyze large datasets using advanced Excel techniques
- Create effective data visualizations and present data-driven insights to stakeholders
Who should attend
Target audience
- Analysts and professionals who are looking to build their data analysis skills as well as those who are interested in improving their decision making capabilities based on data-driven insights
Methodology
Learning approach
- This course uses Excel for analyzing complex datasets. Participants will collaborate on analyzing a real-world business case and will be expected to present their data-driven insights in a simulated board meeting.
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
Data Analytics and Organizational Decision Making
- The objective of data analytics
- The role of the data analyst
- Data analytics as a set of activities
- Coffee break
- Data analytics as a set of activities (continued)
- Data analytics as a decision-making paradigm
- Data analytics as a set of practices and technologies
Day 2
Framing the Data Analytics Approach
- Identifying the real issue
- Establishing key metrics
- Understanding the problem
- Coffee break
- Understanding the problem (continued)
- Using logic trees
- Using the prioritization matrix
Day 3
Sourcing Data
- Data sources
- Gathering quantitative data
- Using qualitative data
- Coffee break
- Using qualitative data (continued)
- Benchmarking
- Conducting informational interviews
- Validating data
Day 4
Analyzing Data
- Preprocessing data
- Exploratory data analysis
- Statistical data analysis
- Coffee break
- Statistical data analysis (continued)
- Prescriptive analysis
- Predictive analysis
- Introduction to machine learning
Day 5
Communicating Data-Driven Results
- Principles of data visualization
- Creating compelling data visualizations
- Understanding stakeholder needs
- Coffee break
- Understanding stakeholder needs (continued)
- Presenting data-driven insights
- Telling the story behind the data
FAQ
Frequently asked questions
What does Certified Data Analyst 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 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Analysts and professionals who are looking to build their data analysis skills as well as those who are interested in improving their decision making capabilities based on data-driven insights
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, London, Rome, Kuala lumpur, Munich, Dubai, 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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Choose an available date and venue, add your participants, and we will email a formal quotation for Certified Data Analyst to your business address.