Data Analysis with R for Statistical Analytics

Data-driven decision-making is at the heart of modern business and research, but turning raw numbers into actionable insights requires the right tools. R is one of the most powerful and widely used languages designed specifically for statistical computing and data visualization. This text-based course guides you from absolute beginner to a confident data analyst. You will start with the fundamental syntax of R, progress through modern data manipulation techniques, and learn how to apply core statistical tests to real-world datasets. What you'll learn: * Learn the foundational syntax, data types, and structures of the R programming language * Import and clean raw datasets using modern packages like the tidyverse and dplyr * Apply core statistical techniques including descriptive statistics, hypothesis testing, and regression analysis * Create clear and informative data visualizations to communicate statistical findings * Interpret analytical models and draw valid, data-backed conclusions * Practice writing clean, reproducible R scripts with modern coding best practices The course begins with essential terminology and setup, guiding you step-by-step through data manipulation, exploratory data analysis, and statistical modeling using clear, written explanations and practical code examples. Designed entirely for beginners, this course requires no prior programming or advanced statistical background. Start your journey into statistical data analysis and unlock the power of R today.