Learners will analyze real-world datasets, interpret statistical outputs, evaluate relationships among variables, and apply advanced SPSS techniques to support data-driven decision-making. By the end of this course, learners will confidently move from raw data to meaningful insights using industry-relevant analytical workflows.
Analyze Advanced Data Projects Using SPSS
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Analyze real-world datasets in SPSS and interpret statistical outputs with accuracy and confidence.
Apply correlation, hypothesis testing, and regression techniques to evaluate relationships among variables.
Communicate data-driven insights using integrated workflows for analysis, visualization, and validation.
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2026
Assessments
11 assignments
Taught in English
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There are 3 modules in this course
This module introduces learners to the workflow of advanced data analysis in SPSS, focusing on dataset import, variable inspection, descriptive statistics, and foundational data visualization techniques to ensure accurate and meaningful exploratory analysis.
What's included
6 videos4 assignments
This module focuses on examining statistical relationships through correlation, estimation, hypothesis testing, and regression analysis, enabling learners to evaluate associations, test assumptions, and draw statistically valid inferences using SPSS.
What's included
8 videos4 assignments
This module emphasizes advanced interpretation of SPSS outputs, multivariate visualization techniques, and analytical validation strategies to support accurate decision-making and professional reporting of statistical findings.
What's included
6 videos3 assignments
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