Embark on a comprehensive journey through data science using R in this 3.5-hour tutorial series. Learn to perform exploratory data analysis, create impactful visualizations, build and deploy machine learning models, handle missing data, and develop interactive web applications with Shiny. Master techniques like classification, linear regression, and parallel computing to enhance your data science skills. Apply your knowledge to real-world scenarios, including health monitoring applications and data-driven web tools. Gain practical experience in deploying R Shiny apps to Heroku and efficiently managing missing data, equipping you with essential skills for end-to-end data science projects.