Linear Regression and Modeling

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 Linear Regression and Modeling program is a non-degree course that teaches students how to assess relationships between variables. It's an online course taught in English and lasts several weeks. The program's main advantage is that it helps students learn to fit, examine, and use regression models to examine relationships between multiple variables.

This program covers specific subjects like simple and multiple linear regression models. Students will learn to use the free statistical software R and RStudio to analyze data and examine relationships between variables. The program also includes data examples to help students understand the fundamental theory behind linear regression.

After completing this program, students can pursue careers as Data Analysts, Statisticians, Research Assistants, or Quantitative Analysts. They can work in various industries, including education, finance, or government, and apply their skills to real-world problems, such as predicting test scores or analyzing customer behavior.