Key facts
- Dates
- 1–5 Feb 2027 (5 days)
- Where
- TBD, Kuala Lumpur, Malaysia
- Fee per participant
- £3,250 (GBP)
- Payment
- By invoice and bank transfer
- Registration closes
- 23 Dec 2026
- Certificate
- Certificate of completion
- In-house option
- Run it for your team, on your dates
On this page 14 sections
Programme Overview
SPSS is one of the world’s leading statistical analysis software packages, widely used by businesses, governments, research institutions, NGOs, and academic organizations to manage, analyze, and interpret data for informed decision-making. This highly practical and hands-on training programme provides participants with a clear, step-by-step approach to using SPSS effectively. From importing and managing spreadsheets to performing statistical analysis, creating regression models, generating charts, and interpreting results, the course covers the essential tools and techniques required for real-world data analysis. Throughout the programme, emphasis is placed on clarity, interpretation, visualization, communication of findings, and practical application, enabling participants to confidently transform raw data into meaningful insights that support evidence-based decisions. Organizations seeking to strengthen broader data governance and data-driven decision-making may also benefit from our Actionable Data and Data Exchange Strategy Optimization Framework, which complements SPSS by improving organizational data quality, interoperability, and evidence-based decision-making.
Practical Case Studies & Applied Data Analytics
Delivered by Risalat Consultants International in Kuala Lumpur, Malaysia, it combines expert-led sessions, real cases and group work, so that participants can apply what they learn in their own institution.
The Programme Strengthens Institutional Capability
- Introduction to the SPSS environment and workflow
- Importing data from Excel, CSV, databases, and other sources
- Variable definition, coding, and data structure
- Data cleaning, validation, and quality assurance
- Missing value analysis and treatment
- Data transformation, recoding, and computation
- Sorting, filtering, merging, splitting, and restructuring datasets
- Preparing datasets for statistical analysis
- Theory of change and results chains
- Logical frameworks and results frameworks
- SMART indicators, baselines and targets
- Data collection methods and tools
It is designed for academic Scholars and Teachers, graduates, Master and Doctoral Level Students, market Researchers and others who want practical, current skills in monitoring and evaluation.
- Inputs
- Activities
- Outputs
- Outcomes
- Impact
The Growing Importance of Training on SPSS Statistical Software in Kuala Lumpur
Governments and financiers want to know what changed, not only what was spent. Results frameworks, indicators and credible evidence now decide how programmes are judged and whether they receive further funding.
Many teams collect large amounts of data but struggle to turn it into decisions. Strong monitoring and evaluation links activities to results, shows progress early and supports learning across the institution.
Organisations increasingly require professionals capable of:
- Design results frameworks with measurable indicators
- Collect and check data that can be trusted
- Analyse progress and explain variances
- Plan and manage evaluations
- Use evidence to adjust plans and report results
Strong monitoring and evaluation systems help organisations:
- Show results clearly to financiers and citizens
- Detect delays and problems early
- Improve the quality of decisions
- Meet reporting and evaluation requirements
This Training on SPSS Statistical Software in Kuala Lumpur programme brings these elements together in a practical format, so that participants understand not only what good practice looks like but also how to introduce it in their own setting, with the people and resources they have.
Who Should Attend This Training on SPSS Statistical Software in Kuala Lumpur Training?
This programme is designed for:
- Academic Scholars and Teachers
- Graduates, Master and Doctoral Level Students
- Market Researchers
- Independent Researchers
- Corporate and Governmental Professionals
- Confidently use SPSS for data management, statistical analysis, and reporting
- Import, organize, clean, and prepare datasets for accurate analysis
- Select and apply appropriate statistical techniques to answer research and business questions
- Interpret statistical outputs and communicate findings effectively through tables, charts, and reports
- Conduct quantitative research and data analysis independently for academic, government, and organizational projects
- Build and interpret regression models and other commonly used statistical analyses
- Transform raw data into meaningful insights to support evidence-based decision-making
The programme suits experienced professionals as well as those moving into new responsibilities. Groups that mix institutions and countries are encouraged, because participants learn a great deal from each other’s experience.
Tick what your team needs to be able to do.
Training on SPSS Statistical Software in Kuala Lumpur Training Objectives
Upon successful completion of this Training on SPSS Statistical Software in Kuala Lumpur Training, participants will be able to:
- Build a theory of change and results chain for a programme
- Design a results framework with SMART indicators
- Set baselines, targets and means of verification
- Choose data collection methods that fit the context
- Check data quality and handle gaps
- Plan an evaluation using recognised criteria
- Analyse and present results for decision makers
- Use findings for learning and adaptation
- Prepare an M&E improvement plan for their programme
Each objective is practised during the programme through exercises, cases or group work, so that participants leave able to do it, not only to describe it.
Programme Contents and Structure
- Introduction to the SPSS environment and workflow
- Data transformation, recoding, and computation
- Cross-tabulation and data summarization
- Presenting findings for management, research, and policy reports
- One-sample, independent, and paired t-tests
- Linear and multiple regression analysis
- Applying statistical models to business, research, and public sector decision-making
- Importing data from Excel, CSV, databases, and other sources
- Sorting, filtering, merging, splitting, and restructuring datasets
- Histograms, boxplots, scatterplots, and line charts
- Statistical inference and confidence intervals
- Analysis of Variance (ANOVA) and post-hoc testing
- Logistic regression techniques
- Exploratory Factor Analysis (EFA)
- Variable definition, coding, and data structure
- Preparing datasets for statistical analysis
- Creating effective tables and visualizations
- Testing assumptions and data normality
- Chi-square and non-parametric statistical tests
- Model diagnostics and goodness-of-fit assessment
- Principal Component Analysis (PCA)
- Data cleaning, validation, and quality assurance
- Descriptive statistics and frequency analysis
- Identifying patterns and trends within datasets
- Outlier detection and data diagnostics
- Selecting appropriate statistical techniques for different research objectives
- Predictive modelling and forecasting
- Survey data analysis and questionnaire validation
- Missing value analysis and treatment
- Measures of central tendency and variability
- Interpreting statistical outputs
- Hypothesis testing principles
- Correlation analysis and relationship assessment
- Interpretation of regression outputs
- Research design and quantitative data analysis
Full day-by-day contents
The programme runs over 5 days. Each day combines expert input, practical work and a closing workshop or case study:
- First Day: Results thinking
- Second Day: Indicators and results frameworks
- Third Day: Data collection and quality
- Fourth Day: Evaluation
- Fifth Day: Reporting, learning and action planning
Full day-by-day contents
First Day | Results thinking
- Introduction to the SPSS environment and workflow
- Data transformation, recoding, and computation
- Cross-tabulation and data summarization
- Presenting findings for management, research, and policy reports
- One-sample, independent, and paired t-tests
- Linear and multiple regression analysis
- Applying statistical models to business, research, and public sector decision-making
- Monitoring and Evaluation (M&E) datasets
Workshop: Results thinking: Applying It to Your Institution
Working in small groups, participants apply the day's methods to examples from their own institutions and agree practical next steps.
Second Day | Indicators and results frameworks
- Importing data from Excel, CSV, databases, and other sources
- Sorting, filtering, merging, splitting, and restructuring datasets
- Histograms, boxplots, scatterplots, and line charts
- Statistical inference and confidence intervals
- Analysis of Variance (ANOVA) and post-hoc testing
- Logistic regression techniques
- Exploratory Factor Analysis (EFA)
- Public policy and organizational performance analytics
Workshop: Indicators and results frameworks: Applying It to Your Institution
Working in small groups, participants apply the day's methods to examples from their own institutions and agree practical next steps.
Third Day | Data collection and quality
- Variable definition, coding, and data structure
- Preparing datasets for statistical analysis
- Creating effective tables and visualizations
- Testing assumptions and data normality
- Chi-square and non-parametric statistical tests
- Model diagnostics and goodness-of-fit assessment
- Principal Component Analysis (PCA)
- Preparing publication-quality statistical outputs
Case Study: Data collection and quality in Practice
Participants analyse a realistic case, compare the choices made with good practice and draw lessons they can use in their own setting.
Fourth Day | Evaluation
- Data cleaning, validation, and quality assurance
- Descriptive statistics and frequency analysis
- Identifying patterns and trends within datasets
- Outlier detection and data diagnostics
- Selecting appropriate statistical techniques for different research objectives
- Predictive modelling and forecasting
- Survey data analysis and questionnaire validation
- Communicating statistical findings to decision-makers
Workshop: Evaluation: Applying It to Your Institution
Working in small groups, participants apply the day's methods to examples from their own institutions and agree practical next steps.
Fifth Day | Reporting, learning and action planning
- Missing value analysis and treatment
- Measures of central tendency and variability
- Interpreting statistical outputs
- Hypothesis testing principles
- Correlation analysis and relationship assessment
- Interpretation of regression outputs
- Research design and quantitative data analysis
- Analysing and presenting progress
Capstone Exercise: Training on SPSS Statistical Software in Kuala Lumpur Action Plan for Your Institution
Participants bring the week together in an action plan for their own institution, with priorities, owners and first steps, and present it for feedback from peers and facilitators.
Training on SPSS Statistical Software in Kuala Lumpur Training Methodology
The SPSS Statistical Software Training in Malaysia is delivered through a highly interactive, hands-on, and application-focused learning approach. The programme combines essential statistical concepts with practical SPSS exercises, enabling participants to immediately apply the techniques learned to real-world datasets. Each session integrates concise theoretical explanations with live demonstrations, guided practical exercises, case studies, and participant discussions to reinforce learning outcomes. Participants are encouraged to bring their own datasets, research projects, or organizational data to receive practical guidance and explore solutions tailored to their specific analytical challenges. Throughout the programme, emphasis is placed on interpretation of results, evidence-based decision-making, effective data visualization, and communicating findings with confidence. The methodology ensures participants leave the programme with practical skills that can be immediately applied in government, development, research, academic, and business environments.
The programme combines:
- Expert-led sessions on current practice
- Regional and international case studies
- Group work and practical exercises
- Simulations and role plays where relevant
- Discussion of participants' own challenges
- Peer learning across institutions and countries
- Practical tools and templates to take back to work
- Daily reflection and action planning
Before the programme, a short pre-assessment helps the facilitators understand each participant’s role and priorities, so that examples and exercises can be adjusted to the group. Each day ends with a short reflection in which participants note what they will apply at work.
- Collect
- Clean
- Store
- Analyse
- Decide
Expected Outcomes
Upon completion of this Training on SPSS Statistical Software in Kuala Lumpur Training, participants will be able to:
- Design results frameworks with measurable indicators
- Set baselines and targets that can be tracked
- Collect and check reliable data
- Plan and manage evaluations
- Report results clearly to decision makers
- Use evidence to adapt plans
Participants leave with a personal action plan and practical tools they can use in their institution from the first week back. Institutions that send several participants can use the programme to agree shared methods and templates across teams, which makes improvements easier to sustain.
£3,250 per participant · invoice and bank transfer · groups of 5 or more receive a discount
Five or more from one organisation: ask for the group rate on the invoice request.
Ten or more: an in-house version for your institution may cost less per person. Ask for an in-house quote.
Registration closes in 45 days (23 Dec 2026)
Institutional Application of Training on SPSS Statistical Software in Kuala Lumpur Training
This programme supports organisations in strengthening:
- Results frameworks
- Indicator systems
- Data quality
- Evaluation planning
- Results reporting
Participants return with practical tools to improve:
- Indicator reference sheets
- Data collection tools
- Progress reports
- Evaluation terms of reference
- Learning reviews
The programme is built so that learning moves from the classroom into the institution. Participants work on their own processes and documents where possible, and leave with an action plan that their managers can review and support.
Regional Relevance & Application
Europe
European institutions apply monitoring and evaluation within detailed regulatory frameworks and reform agendas. Participants from Europe can compare their practice with colleagues from other regions and test how established methods work under different conditions.
Africa
Across Africa, ministries, agencies and project teams working in monitoring and evaluation increasingly operate alongside donor-financed programmes that expect clear systems and evidence. The programme helps participants adapt good practice to the institutions and resources they work with.
Middle East
In the Middle East, national development strategies and diversification plans place growing demands on monitoring and evaluation. Participants explore how to build the capability these plans need inside public bodies and companies.
Asia
Institutions across Asia combine rapid growth with ambitious modernisation programmes. Participants from Asia can share their experience of scaling systems quickly and learn from approaches used elsewhere.
Pacific
Small island and Pacific states face particular constraints of size, distance and capacity. The programme highlights practical, proportionate approaches to monitoring and evaluation that suit smaller institutions.
Holding the programme in Kuala Lumpur, Malaysia brings participants together away from their daily pressures, so they can compare how monitoring and evaluation is handled in different settings. The same programme can also be delivered in-house for one institution, in its own country or online, with cases taken from its current work.
Host Country Profile – Malaysia
Programmes, Workshops, Exposures, Training Courses in Kuala Lumpur, Malaysia by Risalat Consultants International
Studying away from their own country gives participants time to focus, a fresh view of their own institution and the chance to build a network with colleagues from other countries.
The programme takes place at TBD.
Training on SPSS Statistical Software in Kuala Lumpur Training Deliverables
Participants receive support before, during and after the programme, so that preparation, learning and follow-up form one continuous experience.
Before the Programme
- Participant Pre-Assessment
- Training on SPSS Statistical Software in Kuala Lumpur Readiness Assessment
- Training on SPSS Statistical Software in Kuala Lumpur Resource Pack
- Preparatory Reading Materials
- Complimentary Visa Support & Advisory
During the Programme
- Airport Pickup & Welcome Assistance
- Accommodation with Breakfast
- Welcome Networking Dinner
- Risalat Training Kit (Bag, Bottle, Mug, T-Shirt, Cap, Passport Cover, Pens, Notebook, Magnet & Keychain)
- Comprehensive Training on SPSS Statistical Software in Kuala Lumpur Training Manual
- Theory of Change Template
- Indicator Reference Sheet Template
- Data Quality Checklist
- Evaluation Terms of Reference Template
- Practical Workshops & Simulations
- Group Discussions & Peer Learning
- Daily Lunch and Refreshments
- Full Access to Training Venue Facilities
- Mini Pad / Tablet with Digital Learning Materials
- Field Visit (where applicable)
- Entertaining City Tour
After the Programme
- Certificate of Completion
- Risalat Programme Participation Recognition Award
- Post-Training Reference Materials
- Results Framework Review Guide
- Progress Report Template
- Post-Training Support & Follow-Up Guidance
- Programme Report
Institutions can also request a tailored in-house version of this programme, delivered at their premises or online. Request a proposal.
Common Challenges in Training on SPSS Statistical Software in Kuala Lumpur, And How This Training Helps
How can institutions design results frameworks with measurable indicators?
The programme addresses this directly on the first day (Results thinking), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.
How can institutions collect and check data that can be trusted?
The programme addresses this directly on the second day (Indicators and results frameworks), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.
How can institutions analyse progress and explain variances?
The programme addresses this directly on the third day (Data collection and quality), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.
How can institutions plan and manage evaluations?
The programme addresses this directly on the fourth day (Evaluation), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.
How can institutions use evidence to adjust plans and report results?
The programme addresses this directly on the fifth day (Reporting, learning and action planning), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.
Frequently Asked Questions
When and where does the Training on SPSS Statistical Software in Kuala Lumpur programme take place?
It runs from 1 Feb 2027 to 5 Feb 2027, in Kuala Lumpur, Malaysia (TBD). The registration deadline is shown at the top of this page.
Who should attend?
The programme is designed for academic Scholars and Teachers, graduates, Master and Doctoral Level Students, market Researchers, independent Researchers, and others who want practical skills in monitoring and evaluation.
Will I receive a certificate?
Yes. Participants who complete the programme receive a Certificate of Completion from Risalat Consultants International.
Can this programme be delivered for our institution only?
Yes. We can deliver a tailored in-house version at your premises, in another city or online, built around your own cases. Use the proposal request on this page.
Do I need prior experience in monitoring and evaluation?
No specialist background is required beyond experience in a related role. A short pre-assessment helps the facilitators adapt the sessions to the group.
Training courses in Kuala LumpurResearch & Statistics training courses
Why Kuala Lumpur for this programme
Kuala Lumpur combines good value, easy visas for many countries and examples of public sector delivery units.
The Training on SPSS Statistical Software in Kuala Lumpur programme in February 2027 brings together officials and professionals from across the Asia region and beyond. Sessions combine short inputs, case studies and group work on participants' own files, and the city's institutions can be added as a study visit on request.
Getting there: Kuala Lumpur International (KUL).
Check whether you need a visa with the free Visa Checker, and ask for an invitation letter once you are registered.
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