Compare 1 JavaScript course from top providers — filter by price, level, provider & certificate.
All 1 JavaScript courses on freeCodeCamp, compared by rating, level and price.
This filter returns courses where the provider is freeCodeCamp. Because the platform is entirely free, every course listed carries a price of ₹0 and includes a certificate. The two courses available are Free Data Science with Python and JavaScript Algorithms and Data Structures. Both are rated 4.7 and designed for beginners, requiring about 300 hours of self-paced study in English.
| Course | Level | Duration | Certificate |
|---|---|---|---|
| Free Data Science with Python | Beginner | 300 hours | Yes |
| JavaScript Algorithms and Data Structures | Beginner | 300 hours | Yes |
This filter is the wrong call if you need graded deadlines, mentor support, or a wider subject selection. If you want a structured schedule or courses on other topics, open the JavaScript courses hub or the free JavaScript courses facet instead.
Back to JavaScript courses hub. Free JavaScript Courses is a sibling facet that expands the selection beyond freeCodeCamp.
For beginners, 'The Complete JavaScript Course' by Jonas Schmedtmann on Udemy offers a comprehensive, project-based approach. For a free, interactive option, freeCodeCamp's JavaScript Algorithms and Data Structures certification is excellent.
Yes, it is possible. Platforms like freeCodeCamp and The Odin Project provide extensive free curricula. Supplementing these with YouTube resources like 'Namaste JavaScript' and building a strong project portfolio can lead to job opportunities without paid courses.
With dedicated effort (15-20 hours/week), it typically takes 6-12 months to learn JavaScript fundamentals, a framework (like React), Node.js, and build a portfolio to become job-ready for entry-level roles in India.
While JavaScript is foundational, for a 'good job' in India, you'll likely need to master a frontend framework (React, Angular, or Vue), understand backend concepts (Node.js/Express is a plus), databases, Git, and build a strong project portfolio. Data structures and algorithms are also crucial for interviews.
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