Cambridge, Massachusetts, USA: Harvard University has announced seven free online courses in data science, offering learners a valuable opportunity to build foundational and advanced analytical skills at no cost.

Each course runs for approximately eight to nine weeks and requires a study commitment of one to two hours per week. Interested candidates can apply through the official website, with the final date for enrollment set for June 17, 2026.

The available courses cover a broad range of data science disciplines, including statistical modeling, probability, causal analysis, digital humanities, and applied research. These programs are designed to support both beginners and learners seeking to strengthen their practical understanding of data-driven methodologies.

List of Available Courses

1. Data Science: Inference and Modeling

• This course focuses on statistical inference and modeling techniques used to design and analyze opinion polls and data-driven studies.

2. Causal Diagrams: Define Your Hypotheses Before Drawing Conclusions

• The course introduces the principles of causal diagrams through structured lessons and applies them to real-world case studies in health and social sciences.

3. Data Science: Capstone

• A two-week intensive program requiring 15 to 20 hours per week, allowing learners to apply R programming and data analysis skills through a comprehensive project.

4. Digital Humanities in Practice: From Research Questions to Results

• Participants work on search engine components tailored for academic research and learn essential text analysis methods used in digital humanities.

5. Data Science: Probability

• This course introduces key statistical concepts such as random variables, independence, Monte Carlo simulations, expected value, and the central limit theorem.

6. Data Science: Linear Regression

• Learners gain hands-on experience implementing linear regression using R while addressing confounding variables in real-world datasets.