What you'll learn

  • How to apply the knowledge base and skills learned throughout the series to a real-world problem
  • Independently work on a data analysis project

Course description

To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge base and skills in R data analysis you have gained throughout the series, including data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning. 

Unlike the rest of the series, in this course you will receive much less guidance from the instructors. If you complete the project you will have a data product to show off to potential employers or educational programs.

This course is part of the HarvardX Data Science Professional Certificate program.

Faculty

  • Portrait of Rafael Irizarry
    Professor of Biostatistics, T.H. Chan School of Public Health

Associated Schools

  • Harvard T.H. Chan School of Public Health

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