Foundations of Data Analysis: Statistics Using R

Data-driven decision making is one of the most in-demand skills across industries today, yet starting with statistics can feel overwhelming. This course simplifies the journey, showing you how to analyze data and draw meaningful conclusions using R. You will transition from understanding raw numbers to confidently performing statistical modeling and data interpretation. By reading through our guided explanations and typing out your own code, you will build a practical foundation in modern data analysis. We start with the absolute basics of R syntax and core statistical terminology before moving into practical exploratory data analysis and modeling techniques. What you'll learn: - Understand foundational statistical concepts, including descriptive statistics, probability distributions, and hypothesis testing - Configure your R environment and write clean, reproducible code using modern packages and tidy data principles - Calculate and interpret measures of central tendency, variance, and correlation to summarize complex datasets - Build and evaluate linear regression models to identify relationships and make data-backed predictions - Practice data visualization concepts by writing R code to generate clear, informative plots that reveal underlying data trends This course begins with essential terminology, walks you through setting up your R workspace, and guides you step-by-step through real-world statistical analysis workflows. It is designed entirely for beginners with no prior coding or advanced mathematics background. Start reading today to unlock the power of data analysis with R.