Building Data Visualization Tools

Johns Hopkins University in Baltimore, founded in 1876, is a leading research university with a global reputation for excellence across medicine, public health, engineering, the arts and sciences. The university enrolls around 32,049 students, including approximately 5,233 international scholars, and offers an extensive portfolio of programs—about 238—across undergraduate, graduate and professional levels.

Johns Hopkins emphasizes research-led education, interdisciplinary collaboration and hands-on learning through labs, clinics and community partnerships. International students can access comprehensive support services for admissions, visas, academic advising and career development, and can participate in research opportunities, internships and global exchange programs that enhance professional prospects and real-world experience.

Baltimore’s urban setting provides access to vibrant cultural life, medical centers and industry partners, making it well suited for students interested in translational research and public service. The university’s strong alumni network, career services and industry links help graduates move into competitive roles worldwide, while campus resources support wellbeing, student activities and a diverse international community.

The Building Data Visualization Tools program is a non-degree course that teaches students how to create new visualization building blocks. This course is offered by Johns Hopkins University and lasts several weeks. Its main advantages include learning how to use the ggplot2 framework and extend it to suit specific needs.

The curriculum focuses on the ggplot2 framework and describes how to use and extend the system. Students will develop skills in creating visualization tools and learn the fundamentals needed to address new data types. The course will help students build the tools needed to visualize a variety of data types.

After completing this course, students can pursue careers as Data Visualization Specialists, Business Intelligence Developers, Data Analysts, or Data Scientists. They can work for organizations such as consulting firms, tech companies, or research institutions that need to visualize complex data.