Data Science, Certificate | Part time online | edX - online learning platform | United States
17 months
628 USD/year
628 USD/year
Tuition fee
Apply date
Start date


EdX is an online learning platform trusted by over 12 million users offering the Data Science Professional Certificate in collaboration with Harvard University - HarvardX. Real-world case studies to jumpstart your career.

Visit the official programme website for more information


The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. 

The Harvard University - HarvardX Data Science Professional Certificate program, which is offered by EdX, prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges.

The program

The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.

In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems.

Throughout the program, we will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously. We believe that you can better retain R knowledge when you learn how to solve a specific problem. Furthermore, HarvardX has partnered with DataCamp for all assignments, which use code checking technology that will permit you to get hands-on practice during the courses.

Job Outlook

  • R is listed as a required skill in 64% of data science job postings and was Glassdoor’s Best Job in America in 2016 and 2017. (source: Glassdoor)
  • Companies are leveraging the power of data analysis to drive innovation. Google data analysts use R to track trends in ad pricing and illuminate patterns in search data. Pfizer created customized packages for R so scientists can manipulate their own data.
  • 32% of full-time data scientists started learning machine learning or data science through a MOOC, while 27% were self-taught. (source: Kaggle, 2017)
  • Data Scientists are few in number and high in demand. (source: TechRepublic)

What You'll Learn:

  • Fundamental R programming skills
  • Statistical concepts such as probability, inference, and modeling and how to apply them in practice
  • Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
  • Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
  • Implement machine learning algorithms
  • In-depth knowledge of fundamental data science concepts through motivating real-world case studies

Programme Structure

Courses include:

  • Data Science: R Basics

  • Data Science: Visualization

  • Data Science: Probability

  • Data Science: Inference and Modeling

  • Data Science: Productivity Tools

  • Data Science: Wrangling

  • Data Science: Linear Regression

  • Data Science: Machine Learning

  • Data Science: Capstone

Key information


  • Part-time
    • 17 months

Start dates & application deadlines

You can apply for and start this programme anytime.





Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To always see correct tuition fees
  • International

    628 USD/year
    Tuition Fee
    Based on the tuition of 891 USD for the full programme during 17 months.
  • National

    628 USD/year
    Tuition Fee
    Based on the tuition of 891 USD for the full programme during 17 months.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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