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Individual Course

Data Science: Capstone

Course Length

2 weeks

15-20 hours a week

Featuring faculty from:

Harvard T.H. Chan School of Public Health LogoHarvard T.H. Chan School of Public Health

Enroll as Individual

Certificate Price:

$ 149

On demand

Enroll on edX

Enroll as Individual

Certificate Price:

$ 149

On demand

Enroll on edX

Show what you’ve learned from the Professional Certificate Program in Data Science.

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 and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.

Unlike the rest of our Professional Certificate Program in Data Science, in this course, you will receive much less guidance from the instructors. When you complete the project you will have a data product to show off to potential employers or educational programs, a strong indicator of your expertise in the field of data science.

Self-Guided

edX

  • Learn from Harvard faculty
  • Do it on your own time
  • Get a certificate, add it to your resume
  • Be part of the Harvard Community
Data Science for Business values

Program in this topic

Data Science

These courses can be bundled together to receive a professional certificate at a discounted price.

See program

8 Courses available

Faculty

Rafael Irizarry

Your Instructor

Rafael Irizarry

Professor of Biostatistics, Harvard T.H. Chan School of Public Health

Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

Read full bio.

An example HarvardX certificate

Ways to take this course

Audit or Pursue a Verified Certificate

A Verified Certificate costs $149 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.

⁠Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.

FAQs

No prerequisites are required. However, courses later in the series will assume you have the knowledge and skills acquired from earlier courses.

We suggest learners take the courses in the order in which they appear on the HarvardX Data Science Professional Certificate page.

Yes, to maximize flexibility learners can complete the courses across different runs of the course.

However each individual course must be completed within the same course run as progress on an individual course will not transfer between course runs.

Yes! You don’t need to be a data scientist to take these courses. The HarvardX Data Science Professional Certificate is designed for those who want to learn the fundamentals of data science and programming with R.

Courses in the HarvardX Data Science Professional certificate teaches learners the fundamental knowledge of data science, including essential data science skills such as data wrangling, programming with R, data visualization and other skills.

The HarvardX CS50 courses teaches learners the fundamentals of computer science including some commonly used programming languages such as C, Python, SQL, JavaScript plus CSS, and HTML.Learners in CS50 can explore computer science, mobile app and game development, business technologies, and the art of programming in other CS50 courses.

For more information on CS50 on edX visit the CS50 page.