Formation au logiciel statistique SPSS à Kuala Lumpur

Présentation du programme

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.

Public cible

Training on SPSS Statistical Software in Kuala Lumpur, Malaysia will be highly beneficial for any professional who applies SPSS statistical software in daily work life. It is equally useful for students, graduates and postgraduates who need to process and analyze data for their research and studies through SPSS. Some of the target attendees are listed below:

• Academic Scholars and Teachers
• Graduates, Master and Doctoral Level Students
• Market Researchers
• Independent Researchers
• Corporate and Governmental Professionals.

Those undertaking academic research or thesis projects may also find value in our Research Methods, Data Analysis & Report Writing programme.

Learning Objectives

À l'issue de ce programme de formation, les participants seront en mesure de :

• 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.
• Design, implement, and evaluate research studies using internationally recognized quantitative research methods.
• Apply SPSS confidently in academic research, policy analysis, monitoring and evaluation, and organizational performance assessment.

Structure and Contents of the Training on SPSS Statistical Software

Module 1 | SPSS Fundamentals & Data Management

• 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

Module 2 | Descriptive Statistics & Data Visualization

• Descriptive statistics and frequency analysis
• Measures of central tendency and variability
• Cross-tabulation and data summarization
• Histograms, boxplots, scatterplots, and line charts
• Creating effective tables and visualizations
• Identifying patterns and trends within datasets
• Interpreting statistical outputs
• Presenting findings for management, research, and policy reports

Participants interested in applying analytics for fraud detection and organizational integrity may also explore our Power of Data Analytics: Illuminating Fraud Schemes & Corruption programme.

Module 3 | Statistical Testing & Group Comparisons

• Statistical inference and confidence intervals
• Testing assumptions and data normality
• Outlier detection and data diagnostics
• Hypothesis testing principles
• One-sample, independent, and paired t-tests
• Analysis of Variance (ANOVA) and post-hoc testing
• Chi-square and non-parametric statistical tests
• Selecting appropriate statistical techniques for different research objectives

Module 4 | Correlation, Regression & Predictive Analytics

• Correlation analysis and relationship assessment
• Linear and multiple regression analysis
• Logistic regression techniques
• Model diagnostics and goodness-of-fit assessment
• Predictive modelling and forecasting
• Interpretation of regression outputs
• Applying statistical models to business, research, and public sector decision-making

Module 5 | Advanced Analytics & Applied Research

• Exploratory Factor Analysis (EFA)
• Principal Component Analysis (PCA)
• Survey data analysis and questionnaire validation
• Research design and quantitative data analysis
• Monitoring and Evaluation (M&E) datasets
• Public policy and organizational performance analytics
• Preparing publication-quality statistical outputs
• Communicating statistical findings to decision-makers

These analytical techniques are also highly valuable for professionals working in Monitoring & Evaluation, supporting evidence generation, project performance measurement, and impact assessment.

Practical Case Studies & Applied Data Analytics

Participants will analyse real-world datasets from sectors such as:

• Government and Public Administration
• Development and Humanitarian Projects
• Public Health
• Éducation
• Finance and Banking
• Monitoring & Evaluation (M&E)
• Business Performance and Operations
• Social and Market Research

These analytical approaches also support digital transformation initiatives where organizations increasingly rely on integrated data for strategic planning and service delivery.

Using SPSS, participants will develop practical skills to generate evidence-based insights, support strategic decision-making, and produce professional analytical reports for management, research, and policy applications.

Participants will also learn how statistical analysis supports evidence-based policy using publicly available datasets such as those provided through the World Bank Open Data platform.

Méthodologie du programme

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.

Livrables de la formation

Les participants bénéficient d'une prise en charge complète couvrant tout ce dont ils ont besoin avant, pendant et après le programme :

Avant le programme

Pendant le programme

• Accueil à l'aéroport & assistance à l'arrivée
• Hébergement avec petit-déjeuner pendant toute la durée du programme
• Dîner de bienvenue pour faire connaissance avec les autres participants & l'équipe Risalat
• Kit de formation Risalat comprenant : sac, gourde, mug, t-shirt, casquette, protège-passeport, stylos, carnet, magnet, porte-clés
• Déjeuner fourni chaque jour de formation
• Manuel de cours complet & supports de formation
• Modèles, outils et fiches de travail axés sur les projets
• Mini tablette pour un accès pratique aux ressources numériques
• Études de cas numériques, dossiers de lecture & documents de référence
• Accès à des jeux de données d'exemple & à des exercices pratiques
• Visite de terrain (le cas échéant)
• Pauses-café offertes & accès complet aux installations du lieu de formation
• Accès à des ressources d'apprentissage en ligne
• Visite récréative de la ville
• Certificat de participation
• Distinction Risalat de participation au programme

Après le programme

• Accompagnement après la formation & conseils de suivi
• Rapport du programme

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