Data Science: Foundations using 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.

The Data Science: Foundations using R program is a non-degree course for students who want to learn about data science. It's taught in English and lasts several weeks. The main advantage of this program is that it helps students learn to ask the right questions and create visualizations to communicate results.

In this program, students learn to use R programming and develop skills in data manipulation, visualization, and exploration. They also learn to conduct reproducible research and work with data sets. The course includes hands-on components to help students practice their skills and prepare them for more advanced topics in data science.

After completing this program, students can pursue careers such as Data Analyst, Business Intelligence Developer, Quantitative Analyst, or Data Scientist. They can work in industries such as finance, marketing, or healthcare, and potential employers include companies, non-profits, or government agencies.