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Professional Certificate Series

Python for Data Science and Machine Learning

Join Harvard Online in this series of Python courses around Machine Learning

    • 2 Courses
    • 4 months
    • Earn Your Certificate
    What You'll Learn

    Have you thought about a career in data science and machine learning but didn’t know where to start?

    Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning tools becomes more accessible, companies will begin adopting them at a higher rate – continuing to drive the demand of data science analysts and engineers, especially those with experience in programming languages like Python. Industries such as finance, health care, e-commerce, and technology will increasingly be reliant on data to drive strategic value and product and service innovation – leveraging data-driven insights to gain competitive advantage – and seeking experts in data analysis and machine learning techniques to meet growth goals. This comprehensive certificate program is designed to provide learners with the practical knowledge in machine learning and its applications to launch a successful career path or transition into data science and machine learning using Python. The program delves into various facets of data analysis, predictive modeling, and machine learning techniques, providing hands-on experience with industry-standard tools like sklearn, Pandas, matplotlib, and numPy; and in methodologies, including decision trees and ultimately more complex algorithms like gradient boosting. By the end of this certificate, learners will gain hands-on experience building and analyzing complex data sets using Python and machine learning, developing the skills to enter a robust job market with diverse opportunities. Learners should have experience in Python and statistics in order to be successful in the course. You may wish to explore CS50’s Introduction to Programming with Python and statistics prerequisites, which can be met via Fat Chance or Stat110 offered through HarvardX.

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    Learning Outcomes

    Gain hands-on experience using Python to solve real-world data problems.

    Learning Outcomes

    Use popular Python libraries such as Pandas, numPy, matplotlib, and SKLearn.

    Learning Outcomes

    Build on your Python skills to run basic machine learning models, evaluating the results and recognizing data bias to avoid underfitting or overfitting data.

    2 Courses

    Beyond our premium learning paths you can still earn certificates

    Introduction to Data Science with Python

    3-4 hours a week

    Learn more

    Machine Learning and AI with Python

    4-5 hours per week • Starting Oct 15, 2025

    Learn more

    Learn from the best in the industry

    Meet your instructors

    Pavlos Protopapas

    Pavlos Protopapas

    Scientific Program Director at Harvard

    Industry Insights

    According to a report by LinkedIn, machine learning engineer was the fastest-growing job in the US in 2019, with a 344% increase in job postings since 2015.
    The demand for AI and ML specialists will grow by 40% from 2023 to 2027. (365datascience)
    Employment of data scientists is projected to grow 35 percent from 2022 to 2032, much faster than the average for all occupations. (U.S. Bureau of Labor & Statistics)

    The average salary for a Machine Learning Engineer in the US is $155,888. (BuiltIn.com)