Most Popular Courses in Data Science

Discover the best open online courses in data science

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  1. MoocLab
    The following list of most popular open online courses in data science is based on information provided by the platforms on which they are delivered. Click on a course title to go to the course page.

    Machine Learning
    Stanford University via Coursera
    In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

    IBM Data Science Professional Certificate
    IBM via Coursera
    This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

    MicroMasters® Program in Statistics and Data Science
    Massachusetts Institute of Technology (MIT) via edX
    This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning.

    Deep Learning Specialization
    Johns Hopkins University via Coursera
    In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects.

    Applied Data Science with Python Specialization
    University of Michigan via Coursera
    This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

    MicroMasters® Program in Data Science
    The University of California, San Diego via edX
    In this MicroMasters program, you will develop a well-rounded understanding of the mathematical and computational tools that form the basis of data science and how to use those tools to make data-driven business recommendations.

    Data Engineering, Big Data, and Machine Learning on GCP Specialization
    Google Cloud via Coursera
    This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights.

    Business Analytics Specialization
    University of Pennsylvania via Coursera
    This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data.

    The Analytics Edge
    Massachusetts Institute of Technology (MIT) via edX
    In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

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