Harvard University Big Data for Social Good Online Course:
Big social problems require big data solutions
This Harvard University Online course will introduce key principles in data science, economics, and statistics through real-world data and policy interventions, preparing you to address some of today’s most urgent societal issues.

January 2025
Length: 4 weeks (4–5 hours per week)
Certificate Price: $950
Program Dates: (Jan 15, 2025 – Feb 12, 2025)
Applications Close: Jan 6, 2025
March 2025
Length: 4 weeks (4–5 hours per week)
Certificate Price: $950
Program Dates: (Mar 19, 2025Â – Apr 16, 2025)
Applications Close: Mar 10, 2025
What You will learn
The essence of the American Dream—the belief that with dedication, any child can surpass their parents’ living standards—is increasingly elusive: today, only half of children are achieving this upward mobility. Why has this decline occurred, and how can we restore the vitality of the American Dream?
While “big data” is often linked to corporations enhancing products by analyzing customer information, its potential for societal benefits is enormous. Imagine harnessing big data to tackle critical issues like the diminishing American Dream, escalating income inequality, or persistent racial inequities.
“Big Data for Social Good” aims to empower you to utilize big data alongside the methodologies of data science and economics to address some of today’s most pressing social challenges. With big data, we can transcend politically charged arguments to identify which policies are truly effective based on scientific evidence, making the concept of “evidence-based policymaking” a reality. Big data provides insights into how our neighborhoods and schools influence our life trajectories, enabling us to leverage this knowledge to create more equitable opportunities for all.
Analyze historical trends in income, education, family support, and geographic factors to comprehend their roles in promoting upward mobility.
Investigate the application of big data in pinpointing the root causes of socioeconomic inequalities and how it can inform evidence-based initiatives and outcomes.
Delve into economic methodologies, including statistical models, regression analysis, and quasi-experimental designs, to effectively combine and analyze datasets.
Apply economic frameworks to enhance your professional work.
Leverage evidence to engage and rally support from communities and stakeholders, driving systemic policy development and transformative changes.
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