Statistical Data Analysis with SPSS Training Course

This five-day, hands-on course builds the skill to analyse data in SPSS, from preparing a dataset to interpreting and reporting results. It covers the SPSS environment and data management, descriptive statistics and exploration, the main inferential tests, regression analysis, and the production of clear tables, charts and reports. Participants leave able to take a dataset from raw to results in SPSS and to interpret the output with confidence.

Data is only as useful as the analysis behind it, and across research, monitoring and evaluation, SPSS remains one of the most widely used tools for turning data into evidence. Its menu driven design makes serious statistical analysis accessible to people who are not programmers, which is exactly why it is so popular in the social sciences, public health, government and the development sector.

This course builds genuine competence in it. It covers the SPSS environment and how to manage and prepare data, descriptive statistics and the exploration that every analysis should begin with, the main inferential tests for comparing groups and relationships, regression analysis for modelling and prediction, and the production of clear tables, charts and reports. Throughout, the emphasis is on interpreting output correctly, not just producing it. Participants leave able to take a dataset from raw to results in SPSS, choose and run the right analysis for a question, interpret the output correctly, and present findings clearly. The course is hands-on, with every participant working in SPSS throughout.

• Navigate the SPSS Environment
• Import, Prepare, and Clean Data
• Manage and Transform Variables
• Produce and Interpret Descriptive Statistics
• Explore Data Through Visualizations
• Run and Interpret Key Inferential Statistical Tests
• Conduct and Interpret Regression Analysis
• Create Clear Tables and Charts
• Report and Present Analysis Results Accurately and Effectively

This course is suitable for professionals who need to analyse, interpret or report quantitative data in a structured and credible way, including:

• Monitoring and evaluation officers and managers
• Researchers, research assistants and field research staff
• Public health, epidemiology and social science professionals
• Government analysts, planners and policy staff
• NGO, humanitarian and development programme staff
• Data officers, statistics staff and information management personnel
• Consultants and professionals who need practical analytical capability in SPSS
• Anyone responsible for turning raw data into usable evidence and reports
  

Basic computer literacy is required. No prior SPSS experience is necessary, and no advanced statistical background is assumed. The course is suitable for participants who are new to SPSS as well as those who have used it before but want a more structured and practical command of the full analysis process.

A basic familiarity with data, such as having worked with spreadsheets, survey results, monitoring data or research datasets, will be helpful but is not essential. Participants should have access to SPSS during the course.

Organisations whose teams complete this course can expect:

• Faster and more reliable analysis of survey, monitoring, research and operational data
• Better quality evidence for reporting, programme improvement and decision-making
• More credible evaluation, research and internal analytical outputs
• Reduced dependence on external analysts for routine statistical work
• Stronger internal capacity to clean, analyse and interpret existing datasets
• Improved consistency in reporting and presentation of quantitative findings
• Better use of data already being collected across projects, programmes and studies
• A more data-capable team able to turn information into insight with greater confidence

Participants completing this course will gain:

• Greater confidence in handling quantitative data and using SPSS independently
• A structured workflow for moving from raw data to final analysis
• Stronger judgement in selecting the right statistical technique for the question at hand
• Better understanding of how to interpret statistical output rather than simply generate it
• Improved ability to identify poor-quality data and prepare datasets properly before analysis
• More confidence in reporting findings to managers, funders, supervisors, clients or research audiences
• A practical, marketable analytical skill applicable across research, M&E, policy and operational work
• A stronger foundation for progressing into more advanced statistical analysis

At Strategic Revenue Africa, our certification goes beyond proof of attendance—it represents practical competence and measurable capability. Upon successful completion of our training programs, participants are awarded a Certificate of Completion from Strategic Revenue Africa, recognizing their ability to apply acquired knowledge in real-world settings. As an organization focused on architecting sustainable revenue and strengthening organizational performance, our certifications signal that participants are equipped with skills that drive results, not just theory.

Basic computer literacy is required. No prior statistical or SPSS experience is assumed, though a basic familiarity with data is helpful. Participants need access to SPSS during the course.