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Professional Certificate Series

Data Science

The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges

    • 9 Courses
    • 1 Year & 5 Months
    • Earn Your Certificate
    What You'll Learn

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

    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.

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    9 Courses

    Beyond our premium learning paths you can still earn certificates

    Data Science: Capstone

    15-20 hours a week • Start today

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    Data Science: Visualization

    1-2 hours a week • Start today

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    Data Science: Inference and Modeling

    1-2 hours per week • Start today

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    Data Science: Probability

    1-2 hours a week • Start today

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    Data Science: Building Machine Learning Models

    2-4 hours a week • Start today

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    Data Science: Wrangling

    1-2 hours a week • Start today

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    Data Science: Linear Regression

    1-2 hours a week • Start today

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    Data Science: R Basics

    1-2 hours a week • Start today

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    Data Science: Productivity Tools

    1-2 hours a week • Start today

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    Learn from the best in the industry

    Meet your instructors

    Rafael Irizarry

    Rafael Irizarry

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

    Thanks again Harvard Online for such an amazing initiative.

    Ebenezer A.

    The Data Science R program was a great way to fill the gap between my professional and academic experience and gave me the confidence to tackle new challenges.

    Learner photo

    Radha

    Industry Insights

    Data Scientists are few in number and high in demand. (source: TechRepublic)

    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)

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