Data Analysis with SPSS using menu bar and SPSS Syntax

Struggling with data analysis for your manuscript, report, or thesis? Feeling overwhelmed by statistical software? This course is your complete, beginner-friendly guide to mastering the fundamentals of data analysis using SPSS. We will take you on a practical journey from Data Entry and Data Analysis to Interpretation, empowering you to confidently manage your data and present your findings.

This course skips the complex jargon and focuses on a step-by-step, hands-on approach. By the end, you won’t just know how to click buttons—you’ll understand what you’re doing and why you’re doing it.

What you will learn in this course:

• Navigate the SPSS interface with confidence and ease.
• Enter and import your own data, and prepare it for analysis by defining variables and assigning labels.
• Clean and manage your data, including handling missing values and computing new variables.
• Run and interpret essential descriptive statistics such as frequencies, means, and standard deviations.
• Create compelling charts and graphs to visualize your data for reports and presentations.
• Perform and interpret key statistical tests like the independent-samples t-test and the chi-square test.
• Draw meaningful conclusions from your results and effectively communicate your findings.

Who is this course for?

• New Researchers in public health, marketing, or social sciences who need to analyze data for their studies and projects.
• Master’s or Ph.D. Students working on a thesis or dissertation who need to perform data analysis.
• Professionals in various fields (e.g., social sciences, education, business) who need to analyze data from surveys, reports, or studies.

Are there any prerequisites?

• No prior experience with SPSS or statistics is required.
• Access to the SPSS statistical software.
• You should have your research question and data collected and ready for analysis.

If you are a beginner looking to transform raw data into clear, compelling results for your academic or professional work, this is the course for you.