Data Visualization & Dashboarding with R

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.

This program is for learners who want to visualize data using R. It's a non-degree specialization that lasts several weeks and is taught in English. The main advantage is that it helps you create static and interactive data visualizations to provide insights to different audiences.

The curriculum includes five courses where you will learn to use R to create and publish data visualizations on the web. You will develop skills in data visualization, dashboarding, and web publishing. The program is hands-on, so you will practice creating visualizations and dashboards.

After completing this program, you can work as a Data Analyst, Business Intelligence Developer, or Data Scientist. You can also work as a Data Visualization Specialist or a Quantitative Analyst in companies, research institutions, or government agencies.