Practical Data Analysis in RStudio

Data is everywhere, but turning raw numbers into meaningful insights requires the right toolkit. R and RStudio provide a powerful, industry-standard environment designed specifically for data analysis and statistical computing. This text-based course takes you from absolute beginner to confidently importing, cleaning, and analyzing data. You will build a solid foundation in R programming, learning how to write clean, reproducible code to solve real-world analytical problems. What you'll learn: - Learn foundational R programming concepts, including variables, data structures, and functions - Import and clean messy datasets using modern tidyverse practices - Practice manipulating data to filter, group, and summarize key insights - Create professional data visualizations using the ggplot2 package - Apply basic statistical methods to identify patterns and trends within your data - Understand best practices for organizing projects and writing reproducible code in RStudio Starting with basic terminology and installation steps, you will progress through practical, written examples that build your skills step-by-step. By the end of this course, you will have the confidence to tackle your own data projects. This course is designed for beginners, students, and professionals looking to enter the field of data analytics. No prior programming or statistical experience is required. Start reading today to unlock the power of data analysis with R and RStudio.