Harvard Offers 10 Free Online Courses to Learners Worldwide
A carefully selected list of ten free online courses has been made available by Harvard University.
To meet the demands of today’s digital and data-driven world, the courses, which are hosted on edX, include important topics including computer science, artificial intelligence, data science, leadership, and cybersecurity.
The courses are made to accommodate students from various backgrounds, including professionals looking to expand their expertise in particular sectors or novices discovering new interests.
They provide self-paced learning and are adaptable.
A list of free classes
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Overview of Computer Science
This premier introductory course covers the foundations of programming and computer science. It is well known for its captivating teaching method and is appropriate for novices. It lasts for twelve weeks.
- An Overview of Python-Based Artificial Intelligence
This introductory course offers a practical introduction to Python-based machine learning and artificial intelligence methods. No prior knowledge of AI is necessary. The course duration is 7 weeks.
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Using Python and JavaScript for Web Programming
This intermediate-level course covers HTML, CSS, Python, JavaScript, and SQL, emphasizing full-stack development. Perfect for students who want to create web apps.
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Comprehending Technology
This course, which explores modern technologies and their everyday influence, is designed for people with little to no technical background and is beginner-friendly. The course duration is 6 weeks.
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Overview of Game Development
With projects covering a variety of game genres, students in this intermediate-level course can investigate 2D and 3D game design utilizing well-known engines like Unity and frameworks like LÖVE2D. The course lasts for twelve weeks.
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Overview of Cybersecurity
This introductory training covers digital security and risk management at a starting level, including guidance on safeguarding infrastructure and data. The course lasts for five weeks.
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Machine Learning in Data Science
This practical, intermediate-level course develops a recommendation system and covers fundamental machine learning techniques, such as linear regression.
- Data Science: Instruments for Productivity
In this introductory course, which emphasizes project management and repeatability, students learn how to utilize GitHub, Unix/Linux, RStudio, and other tools. The course lasts for eight weeks.
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Leaders in Education
This introductory course examines the connection between learning theories and leadership, providing insights into the formation of educational environments. The course lasts for ten weeks.
- An Overview of Python Data Science
This thorough course for beginners to intermediate learners teaches Python statistical modeling, data wrangling, and visualization.
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