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In this module, you鈥檒l build a strong foundation in working with geographic data, an essential skill for mapping patterns, trends, and relationships that numbers alone can鈥檛 show. Using the leaflet package, you鈥檒l create interactive maps that go beyond static visuals. You鈥檒l learn how to add markers, layers, and controls that let users explore your data in meaningful ways. Whether you're analyzing locations, tracking movement, or sharing insights with non-technical stakeholders, spatial visualizations can bring your work to life, and this module shows you how to start.

In this module, you鈥檒l learn how to handle large datasets with speed and precision using the data.table package, one of R鈥檚 most powerful tools for high-performance data manipulation. You鈥檒l explore techniques that make your code faster and more scalable, especially for complex tasks that push beyond what traditional tools can handle. Through real-world examples and focused practice, you鈥檒l see why data.table is a go-to choice for working data professionals. If you鈥檙e dealing with big data, or want to write code that feels sharp and efficient, this module will show you how.

In this module, you鈥檒l take your reporting skills to the next level with advanced features in RMarkdown. You鈥檒l learn how to build dynamic, parameter-driven reports that update automatically as your data changes, saving time and reducing manual effort. From filtering content to customizing outputs, you鈥檒l discover how to create reports that are flexible, reusable, and ready for real-world workflows. If you work with stakeholders, share results, or just want to streamline your reporting process, this module gives you the tools to do it smarter.

In this module, you鈥檒l learn how to work with cloud storage, an essential part of modern data workflows. Using Azure Blob Storage, you鈥檒l practice storing, accessing, and managing data in the cloud. Along the way, you鈥檒l see how cloud-based tools fit into real-world analysis, reporting, and collaboration. Whether you're preparing for larger-scale projects or just want to keep your data work more organized and accessible, this module helps you build the skills to do it with confidence.

This is the final stretch of the specialization, and a chance to put your skills into action. In this capstone project, you鈥檒l take on a real-world data challenge that brings together everything you've learned: web scraping, data manipulation, interactive visualizations, and dynamic reporting. You鈥檒l also create a polished, professional GitHub portfolio to showcase your work. Capstones can feel like a lot, and that鈥檚 completely normal. You鈥檒l have support along the way, and by the end, you鈥檒l walk away with something you can be proud of, and share with confidence.