
Eli Fenichel
Knobloch Family Professor of Natural Resource Economics
Have you ever encountered an environmental challenge and thought, “This is an important issue—but how can I make an impact?”
Maybe you’ve even wondered, “I could use data to help uncover answers … but where do I start?”
Yale’s Environmental Data Science Certificate Program gives you the tools to move from curiosity to action. You'll learn how to wrangle environmental data, code in R and Python, collaborate using GitHub, and apply spatial and text analysis to solve today’s most pressing environmental issues.
These are skills you’ll use today to make an impact now and exactly what you’ll need to set yourself up for success in tomorrow’s data-driven careers.
The Environmental Data Science Certificate Program is designed to equip learners with the technical skills to interpret and communicate environmental data insights. This program provides essential knowledge and skills related to the types, acquisition, and visualization of data to tackle complex global environmental challenges. The curriculum includes lectures, experiential learning opportunities, special topics, and a capstone project. Learners also engage in peer discussions and collaboration across environmental disciplines. The popular open-source R language is the primary coding language used in the course, with an introduction to Python.
Program framework and key learning outcomes
Our program is ideal for individuals who are passionate about using data science to address environmental challenges, particularly those from the Global South. It is well-suited for:
Whether you're just starting your career or looking to specialize, our program provides the tools and knowledge needed to make a meaningful difference.
6 month non-degree program
October 2025 - March 2026
$6,000
For more information about the Environmental Data Science certificate, contact info.envdatasci@yale.edu.