Descriptive Statistics and Data Analysis with R

Every great data analysis starts with a clear understanding of the dataset's core characteristics. This text-based course introduces you to the essential concepts of descriptive statistics and shows you how to apply them directly using R. You will transition from looking at raw spreadsheets to confidently summarizing, interpreting, and communicating data patterns. What you'll learn: - Understand foundational statistical concepts including measures of central tendency like mean, median, and mode - Measure data variability using range, variance, standard deviation, and percentiles - Write clean R code to import, clean, and structure raw data for analysis - Use modern R packages and tidyverse workflows to summarize complex datasets efficiently - Apply exploratory data analysis techniques to spot trends, outliers, and distribution shapes You will start with the absolute basics, learning core statistical definitions and setting up your R environment. From there, you will progress through structured text lessons and code-based exercises that build your analytical skills step-by-step, ending with a complete data-summarization workflow. This course is designed specifically for beginners with no prior background in statistics or programming. Start reading today to unlock the stories hidden within your data.