Top 7 Online Courses to Level Up Your R Programming and Data Science Skills (2025 Edition)

Discover the best R programming and data science courses to boost your skills, build real-world projects, and grow your career. Start learning smarter today!

Recommended Resources to Learn, Grow, and Work Smarter

Here are the resources for data analysts and programmers I personally recommend — including the best R programming books, top data science courses, and productivity tools for developers that I use to stay organized and learn faster. Whether you’re starting out or growing your career, these tools and learning paths can help you learn R programming faster and build real-world skills. (Some links are affiliate links. They cost you nothing extra and help support my work. Thanks!)

Heatmap to Visualize Spatio-Temporal Data

This post shows how to create a heatmap with geom_tile() to visualize the spatio-temporal evolution of the vegetative period in the Chaudière-Appalaches region.

Side by side interactive map with {leaflet} and {leaflet.extras2}

This tutorial shows how to create an interactive side-by-side map visualization of the mean temperature for 2024 and 2100 for the Chaudière-Appalaches region in Quebec using leaflet and leaflet.extras2 R packages.

Using {pollen} and {vegperiod} to analyze temperature, GDD, and vegetation period

pollen and vegperiod are two R packages that can be used to analyze temperature, Growing Degree Days (GDD), and vegetation period. In this analysis, we explore historical temperature records, GDD trends, and vegetation period changes in Chaudières-Appalaches, Quebec, using these packages. By combining data visualization and exploratory data analysis (EDA) techniques, we uncover key patterns and anomalies that shed light on climate-driven changes in the region.