Data Science for Agile Decision-Making

Duke University, located in Durham, United States, is a historic institution founded in 1838. As an international student, you'll find many advantages to studying here, including access to a diverse community of 3584 international students, a broad academic offering, and a unique blend of tradition and innovation. Specifically, you'll benefit from the university's strong research focus and its location in the heart of North Carolina's Research Triangle.

Duke University offers 213 programs, with many focusing on engineering, business, and medicine. The university is particularly renowned for its departments of engineering and environmental sciences, which provide opportunities for you to engage in cutting-edge research. English is the primary language of instruction, but you'll also have the chance to learn other languages, such as Spanish, Chinese, and Arabic, through the university's language programs.

As a student, you'll have access to modern facilities, including libraries, labs, and recreational centers. The campus is situated in a charming city with a rich cultural scene, offering many opportunities for you to explore and engage with the local community. For instance, you can visit the nearby Durham Performing Arts Center or take part in the city's annual festivals, which celebrate music, food, and art. With many student clubs and organizations available, you'll find plenty of ways to get involved and make the most of your time at Duke University.

The Data Science for Agile Decision-Making program is a non-degree course for individuals who want to learn how to make data-driven decisions. It is offered by Duke University and is available online. The program's main advantage is that it teaches students how to use data to drive business decisions.

This program covers subjects such as data analysis, statistical modeling, and data visualization. Students will develop skills in areas like machine learning, programming, and data storytelling. The program also includes practical exercises where students can work with real data sets.

Upon completion, students can pursue careers such as Data Analyst, Business Intelligence Developer, Quantitative Analyst, Operations Research Analyst, or Data Scientist. They can work in various industries, including finance, marketing, and healthcare, and can be employed by companies like Google, Amazon, or Deloitte.