Practical Statistics and Distribution Analysis in R

Understanding the true shape and spread of your data is the foundation of sound data analysis. This text-based course guides you through core statistical metrics and distribution analysis using clear explanations and practical R workflows. You will gain the confidence to choose the right statistical summaries, measure data spread accurately, and standardize scores across different distributions to uncover meaningful insights from complex datasets. What you'll learn: - Understand foundational statistical terms, distribution shapes, and essential data properties. - Calculate and evaluate measures of central tendency, including mean, median, and mode in R. - Measure dispersion and variability using variance, standard deviation, range, and mean absolute deviation. - Apply z-scores to normalize data points and compare values across distinct distributions. - Summarize datasets efficiently using modern R functions and tidy data workflows. - Interpret statistical summaries to support rigorous, data-driven conclusions. The course starts with essential statistical definitions and conceptual foundations before guiding you through structured text explanations, code walkthroughs, and practical data analysis exercises. This course is suitable for learners with a basic grasp of R syntax who want to develop practical statistical analysis skills. No advanced mathematics background is required. Begin your journey to mastering statistical analysis in R today.