Global Learning for Operational Leaders
Classroom
15 sessions
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Online / Live
15 sessions
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Introduction
Course overview
Course Introduction
This Data Analytics for Managerial Decision Making training course will illustrate how data analytics can enhance management decisions by supporting strategic initiatives, informing policy, and guiding operational choices.
The training course focuses on practical applications, accurate interpretation of findings, and integrating quantitative reasoning into decision-making.
Participants will gain confidence in using evidence-based information to make informed decisions, ultimately improving their management practices and strategic outcomes.
This training course will feature:
Discussions on applications of data analytics in management
The importance of data in data analytics
Applying data analytical methods through worked examples
Focusing on management interpretation of statistical evidence
How to integrate statistical thinking into the work domain
Training Objectives
By the end of this training course, participants will be able to:
Appreciate data analytics in a decision support role
Explain the scope and structure of data analytics
Apply a cross-section of useful data analytics
Interpret meaningfully and critically assess statistical evidence
Identify relevant applications of data analytics in practice
Training Methodology
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented.
The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel.
Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content.
Emphasis is also placed on the valid interpretation of statistical evidence in a management context.
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly benefit:
Professionals in management support roles
Analysts who typically encounter data / analytical information regularly in their work environment
Those who seek to derive greater decision making value from data analytics
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
Setting the Statistical Scene in Management
- Introduction; The quantitative landscape in management
- Thinking statistically about applications in management (identifying KPIs)
- The integrative elements of data analytics
- Coffee break
- The integrative elements of data analytics (continued)
- Data: The raw material of data analytics (types, quality and data preparation)
- Exploratory data analysis using excel (pivot tables)
- Using summary tables and visual displays to profile sample data
Day 2
Evidence-based Observational Decision Making
- Numeric descriptors to profile numeric sample data
- Central and non-central location measures
- Quantifying dispersion in sample data
- Coffee break
- Quantifying dispersion in sample data (continued)
- Examine the distribution of numeric measures (skewness and bimodal)
- Exploring relationships between numeric descriptors
- Breakdown analysis of numeric measures
Day 3
Statistical Decision Making – Drawing Inferences from Sample Data
- The foundations of statistical inference
- Quantifying uncertainty in data – the normal probability distribution
- The importance of sampling in inferential analysis
- Coffee break
- The importance of sampling in inferential analysis (continued)
- Sampling methods (random-based sampling techniques)
- Understanding the sampling distribution concept
- Confidence interval estimation
Day 4
Statistical Decision Making – Drawing Inferences from Hypotheses Testing
- The rationale of hypotheses testing
- The hypothesis testing process and types of errors
- Single population tests (tests for a single mean)
- Coffee break
- Single population tests (tests for a single mean) (continued)
- Two independent population tests of means
- Matched pairs test scenarios
- Comparing means across multiple populations
Day 5
Predictive Decision Making - Statistical Modeling and Data Mining
- Exploiting statistical relationships to build prediction-based models
- Model building using regression analysis
- Coffee break
- Model building process – the rationale and evaluation of regression models
- Data mining overview – its evolution
- Descriptive data mining – applications in management
- Predictive (goal-directed) data mining – management applications
FAQ
Frequently asked questions
What does Data Analytics for Managerial Decision Making cover?
This course covers IT Management and Cyber Security 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 12 - 16 October 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.
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, Istanbul, Rome, Kuala lumpur, Barcelona, London, Munich.
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 training hours.
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