In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional Certificate in Data Science provides a structured, comprehensive program for ...

This workshop is designed for students and research teams who want to turn cleaned data into clear, publication-ready graphics. Participants learn the core ideas behind the “grammar of graphics” and ...

R has become a popular and powerful platform for working with geospatial data due to its well-developed ecosystem of packages to import, process, analyze and visualize spatial data, strong integration ...

Background: Knee osteoarthritis (KOA) is one of the most prevalent joint diseases globally, with high body mass index (BMI) being a major risk factor. We aimed to assess the burden of KOA attributable ...

I presented my approach to customizing charts with R and ggplot2 at the 21st Data Visualization in Munich Meetup on July 8th, 2025. Presentation slides (reveal.js ...

Abstract: Time series analysis has emerged as a critical tool across diverse fields such as finance, energy, healthcare, and environmental studies, enabling researchers to model and forecast temporal ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Yale's Public Health Data Science and Data Equity (DSDE) team created this workshop series for Public Health and Biostatistics masters-level students at Yale. They are designed to help learners ...