Der Werkzeugkasten des Data Scientist

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 a non-degree course for international students, taught in English, and lasting several weeks. It's perfect for those who want to learn about data science tools. The main advantage is getting familiar with key concepts and practical skills.

The curriculum covers essential subjects like version control, markdown, git, GitHub, R, and RStudio. You'll develop skills in data analysis and programming. The course has a practical component where you'll work with real-world tools and technologies.

After completing this program, you can pursue careers like Data Analyst, Business Intelligence Developer, or Data Scientist. You can work in industries such as finance, healthcare, or technology, and potential employers include companies like Google, Microsoft, or IBM.