Data Visualization with Python & R for Engineers

Northeastern University in Boston, founded in 1898, is known for its global outlook and signature experiential learning model. With a large and diverse community of over 96,000 students and about 14,500 international students, the university offers a wide range of undergraduate, graduate and professional programs across 67 fields of study. Its urban campus in Boston provides proximity to leading hospitals, tech firms, research institutes and cultural institutions, creating rich opportunities for internships and collaborations.

Academic life at Northeastern is defined by co-operative education, integrated work experiences and research engagement. Students alternate classroom study with periods of full-time, career-relevant employment, building professional networks and industry-ready skills. The university supports interdisciplinary research and entrepreneurship through incubators, labs and partnerships that translate discoveries into real-world impact across health, engineering, business and the social sciences.

International students receive comprehensive services for transition, visa support and career placement, plus global study options through campus partnerships and exchange programs. Student life blends academic rigor with vibrant clubs, athletics and civic initiatives in one of America’s leading college cities. Prospective students seeking a career-focused education with strong global connections will find Northeastern offers structured pathways to professional success and research opportunities in a dynamic urban setting.

Data Visualization with Python & R for Engineers is a non-degree program at Northeastern University, Boston, open to students with a pre-high school education level. It's an online program that teaches you how to visualize data using Python and R. The program is short, lasting just a few weeks, and is a great way to learn new skills.

The curriculum covers data visualization techniques, including how to use Python and R to create interactive visualizations. You'll learn skills like data analysis, programming, and visualization, and you'll get to practice what you've learned through hands-on projects. The program will help you understand how to communicate complex data insights effectively.

After completing this program, you can pursue careers like Data Scientist, Data Analyst, or Business Intelligence Developer. You could work in industries like finance, healthcare, or technology, helping to analyze and visualize data to inform business decisions. Other possible job titles include Data Engineer or Quantitative Analyst.