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  1. This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently.

  2. Oct 18, 2023 · Ways to take this course. When you enroll in this course, you will have the option of pursuing a Verified Certificate or Auditing the Course. A Verified Certificate costs $149 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.

  3. Explore professional and lifelong learning courses from Harvard University. From free online literature classes to in-person business courses for executives, there’s something for everyone. Earn certificates for professional development, receive college degree credit, or take a class just for fun! Advance your career. Pursue your passion. Keep learning.

  4. Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

  5. cs50.harvard.edu › x › 2021CS50x 2021 - edX

    This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web programming. Languages include C, Python, and SQL plus HTML, CSS, and JavaScript. Problem sets inspired by the arts ...

  6. HarvardX Honor Code. HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant.

  7. Learn key data science essentials, including R and machine learning, through real-world case studies to jumpstart your career as a data scientist.

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