In this module, you'll learn how to explore single variables and spot relationships between them. Using real healthcare data and ggplot2, you’ll practice creating clear, meaningful visualizations. You'll also get comfortable with concepts like distribution and correlation, tools that help you find and explain key patterns in your data.

In this module, you’ll explore relationships across multiple variables and learn how to spot patterns in more complex, high-dimensional data. We’ll use tools like correlation heatmaps, scatter plot matrices, and PCA to help make sense of it all, especially when working with large datasets.

In this module, you’ll learn how to turn your analysis into something people can actually see and understand. We’ll show you how to create interactive visuals with plotly, build polished reports using R Markdown, and follow simple but effective data storytelling tips. By the end, you’ll know how to communicate your insights clearly, whether you’re sharing with a colleague or presenting to a broader team.

In this final lab, you’ll work with a realistic healthcare dataset and apply everything you’ve practiced. You’ll explore and communicate with data using visualizations, Markdown, multivariate analysis, and data processing. It’s a chance to bring all your skills together in one place.