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    Coursera Online Courses - Online Certificate Courses

    Master the latest skills from industry experts at companies like Google, IBM, & Meta. Earn a recognized career credential to enhance your resume and showcase your skills.

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  1. online.stanford.edu › free-coursesFree Online Courses | Stanford Online

    Learn new skills and explore new and emerging topics with free online courses from Stanford faculty and industry experts. Browse courses by category or take them all at no cost to you.

  2. online.stanford.eduHome | Learning for a Lifetime | Stanford Online

    Stanford Online offers learning opportunities via free online courses, online degrees, grad and professional certificates, e-learning, and open courses.

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  4. online.stanford.edu › exploreExplore | Stanford Online

    Accounting, Finance & Valuation for Engineers & Constructors. CEE244. Stanford School of Engineering, Stanford Doerr School of Sustainability. Summer 2023-24:Online, instructor-led - Enrollment Open. Course.

  5. www.edx.org › school › stanfordonlineStanford University - edX

    Stanford Online is Stanford’s online learning portal, offering learners around the world access to Stanford’s extended education, professional development, and lifelong learning opportunities. Our robust catalog of credit-bearing, professional, and free and open content provides a variety of ways to expand your learning, advance your career ...

  6. www.coursera.org › stanfordStanford University Online Courses | Coursera

    Stanford University. The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.

  7. www.edx.org › learn › computer-scienceStanfordOnline: Computer Science 101 - edX

    Introduction to Computer Science for a zero-prior-experience audience. Play with little phrases of code to understand what computers are all about.

  8. openclassroom.stanford.eduOpenClassroom

    Introduction to applied machine learning. In this course, you'll learn about machine learning techniques such as linear regression, logistic regression, naive Bayes, SVMs, clustering, and more. In addition, you'll also learn the practical, hands-on, skills and techniques needed to get learning techniques to work well in practice. Algebra One.