Statistical Analysis and Data Insights with Jamovi

Statistical analysis does not have to be overwhelming or require complex coding. Jamovi provides an accessible, modern platform that combines intuitive data management with the analytical power of R for research and practical problem-solving. This text-based course guides you step-by-step through setting up datasets, choosing the right statistical tests, running analyses, and interpreting the output with confidence. You will establish a firm conceptual grounding before applying your knowledge to practical scenarios. What you'll learn: - Understand core statistical terminology, measurement scales, and hypothesis testing fundamentals - Import, clean, transform, and structure datasets within Jamovi - Calculate and interpret descriptive statistics and evaluate distributional assumptions - Perform parametric and non-parametric group comparisons including t-tests and ANOVA - Apply correlation and linear regression models to examine relationships across variables - Utilize syntax features to inspect underlying R commands for transparent, reproducible workflows The course begins with fundamental statistical concepts and software navigation before progressing through descriptive summaries, inferential tests, and regression techniques through clear explanations and structured examples. Designed for students, researchers, and professionals new to statistical software, this material requires no previous coding experience. Start reading today to build practical, reliable statistical analysis skills.