Online Course in Data Science: Visualization

Harvard University, founded in 1636 and based in Cambridge, Massachusetts, is one of the world's most renowned research universities. With approximately 35,276 students and more than 6,100 international students, Harvard offers a diverse and intellectually rigorous environment across undergraduate, graduate and professional programs. The university provides a broad array of academic options with over 190 degree programs, world-class faculty and extensive research resources that support interdisciplinary study and innovation.

The campus experience blends historic traditions with cutting-edge facilities, creating opportunities for close collaboration with leading scholars and peers. Students benefit from rich extracurricular life, strong career services, and global networks that open pathways in academia, industry and public service. Harvard's emphasis on mentorship, seminar-style learning and research involvement helps students develop critical thinking, leadership and practical skills valued by employers worldwide.

International students find robust support through dedicated admissions guidance, visa assistance and a range of scholarships and financial aid options. The university's global outlook is reflected in numerous international partnerships and research collaborations, enabling students to engage with global challenges and cross-cultural perspectives. For ambitious students seeking a highly selective, research-intensive environment, Harvard combines academic excellence with extensive professional and personal development resources.

This program is a non-degree online course in data science with a focus on visualization, offered by Harvard University. It's for students who want to learn how to work with data and communicate findings effectively. The course lasts several weeks and helps students develop skills in data analysis and visualization.

The curriculum covers topics like data visualization, exploratory data analysis, and statistical programming with R. Students learn how to use ggplot2 to create visualizations and how to work with datasets to reveal valuable insights. They also learn how to handle mistakes and biases in data.

After completing this course, students can pursue careers as data analysts, data scientists, or business intelligence developers. They can work in various industries, including healthcare, economics, and technology. Some potential job titles include data visualization specialist, quantitative analyst, or research scientist.