Advanced Statistics for Data Science

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 Advanced Statistics for Data Science program is a non-degree course for learners who want to become biostatisticians and data scientists. It lasts several weeks and is taught in English. The main advantage of this program is that it provides foundational knowledge in probability, statistics, and linear models.

The curriculum covers fundamental concepts in probability, statistics, and linear models. Learners will develop skills in mathematical statistics, hypothesis testing, and case-control sampling. They will also learn about linear models for data science, including least squares and linear regression using the R programming language.

After completing this program, learners can pursue careers as biostatisticians, data scientists, research analysts, statistical consultants, or data analysts. They can work in various industries, including healthcare, finance, and technology, and can be employed by organizations such as research institutions, pharmaceutical companies, or government agencies.