Online Course in Data Science: Inference and Modeling

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.

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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.

The Online Course in Data Science: Inference and Modeling is a non-degree program at Harvard University, taught in English. It teaches students statistical inference and modeling concepts, using a case study on election forecasting, over several weeks.

The curriculum covers concepts like estimates, margins of error, confidence intervals, and p-values, using the R programming language. Students develop skills in data analysis, forecasting, and Bayesian modeling through practical applications.

After completing this course, students can pursue careers as Data Analysts, Statistical Consultants, Data Scientists, or Business Intelligence Developers, working in industries like politics, marketing, or finance, for employers such as research institutions, private companies, or government agencies.