R Programming: From Data Cleaning to Shiny Web Apps

Do you need to transform raw data into actionable insights and share them interactively? Mastering R and its modern ecosystem is the essential first step for any aspiring data analyst or data scientist. By the end of this course, you will have a strong foundation in R programming, enabling you to confidently perform the entire data analysis pipeline—from initial data import and cleaning to statistical modeling and deploying professional, interactive web applications using the Shiny framework. What you'll learn: * Learn the fundamental syntax of the R language and modern best practices for writing clean, efficient analytical code. * Master the tidyverse suite for efficient data manipulation, cleaning, and sophisticated visualization using ggplot2. * Apply statistical concepts and build predictive models using R's robust modeling capabilities. * Understand modern R environment management and project packaging for reliable code execution. * Design, develop, and deploy interactive data dashboards and web applications using the Shiny framework. * Practice transforming analytical results into reliable, shareable data products ready for production use. The material starts with foundational R concepts and progresses step-by-step through data wrangling and visualization techniques. We then cover statistical modeling before moving into the practical deployment of applications using Shiny. This course is designed for absolute beginners with no prior experience in R programming or data analysis. All concepts are introduced clearly, focusing on practical application. Start your journey toward becoming a confident R data professional today.