Professional training course
Data Analytics for Managerial Decision Making
Course Introduction This Data Analytics for Managerial Decision Making training course will illustrate how data analytic... The outline covers Setting the Statistical Scene in Management, Evidence-based Observational Dec...
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
Course content
Five focused days of learning and application
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
- 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
- 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
- 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)
- 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
- 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 15 - 19 June 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.
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 Kuala lumpur, Barcelona, London, Munich, Amsterdam, Istanbul, Rome.
Still Have Questions?
Contact the academy team for course details, delivery options, and delegate guidance.
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