Updated in May 2025.

This course now features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

This comprehensive course takes you from R programming basics to advanced machine learning and deep learning. You’ll gain hands-on skills in data manipulation, visualization, and statistical modeling using R.

The journey begins with RStudio setup and foundational programming, then moves into real-world data projects, including web scraping, data cleaning, and regression models. You'll explore visualization tools like ggplot2 and Plotly, and delve into supervised and unsupervised learning.

Advanced modules cover neural networks, CNNs, autoencoders, and Shiny app deployment. You'll also apply PCA, t-SNE, clustering, and reinforcement learning for complex data tasks.

This course suits aspiring data scientists, analysts, and ML enthusiasts. Prior coding experience is helpful but not required. It's designed for beginner to intermediate learners.

Applied Learning Project

The included projects in "R Ultimate 2023 - R for Data Science and Machine Learning" are designed to provide hands-on experience with real-world data analysis and machine learning tasks. Learners will apply their skills to solve authentic problems, such as creating dynamic web apps with Shiny, building predictive models, and performing advanced data manipulations, enabling them to transform raw data into actionable insights and interactive applications.