Basic JavaScript and comfort tracing loops and functions are recommended. Use small hand-checkable examples before implementing larger structures. The final complete course recording remains included in the source list.
About this course
Study Data Structures and Algorithms in JavaScript through this free English video course from freeCodeCamp. The classroom brings together all 13 public recordings from the selected source curriculum, totaling approximately 3h 52m. You can watch the teaching sequence, search the lesson list and keep track of the recordings you have completed. The course focuses on the subject named in its title. Its value comes from following the explanations and making your own small practice attempts, with enough time to inspect the result and explain the decisions involved.
Course at a glance
| Provider / Teaching team | freeCodeCamp |
|---|---|
| Platform | YouTube · freeCodeCamp |
| Access | Free Video |
| Level | Intermediate |
| Language | English |
| Videos | 13 |
| Video duration | 3h 52m · allow extra time for practice |
| Format | Self-paced recorded curriculum |
| Certificate | Not included with video viewing |
What you’ll learn
- Compare stacks, queues and sets
- Explain maps and hash tables
- Trace linked-list operations
- Describe trees, tries and heaps
- Interpret graph representations
- Follow breadth-first search and compare structural choices
Skills you’ll gain
- Data structures
- JavaScript
- Trees
- Graph traversal
Course Overview
Thirteen connected source entries cover fundamental structures and graph traversal, including the final complete course recording.
The source lesson list includes “Stacks (Data Structure) – Beau teaches JavaScript”, “Hash Tables – Beau teaches JavaScript”, “Data Structures and Algorithms in JavaScript – Full Course for Beginners”. The classroom retains their original titles and positions. Introductions, supplementary explanations and complete-course recordings remain present whenever they are part of the source. A repeated recording is retained at each original position, allowing the course to be checked against the published teaching sequence.
Linear structures
Start with stacks, sets and queues. Write down the operation being performed and the order in which information enters or leaves each structure.
Lookup and linked data
Follow maps, hash tables and linked lists. Compare how an item is found or connected, and identify the assumptions behind the demonstrated operation.
Trees and heaps
Study binary-search trees, traversal, tries and heaps. Use small examples to trace movement through the structure and explain the property an operation preserves.
Graphs and consolidation
Follow graph representations, breadth-first search and the final full-course recording. Relate a traversal result to the connections in the example and explain why a chosen structure fits a particular task.
Who is this for?
This course suits learners who want the specific subject described above and who can work at the stated level. It is also useful as a recorded reference when revisiting a concept or comparing a practice attempt with a demonstrated example. Beginners should give the foundational explanations time before moving to more elaborate applications. Experienced learners can use the lesson names to locate a topic, then inspect the surrounding context before applying a technique.
Before you start
Basic JavaScript and comfort tracing loops and functions are recommended. Use small hand-checkable examples before implementing larger structures. The final complete course recording remains included in the source list.
Put the lessons into practice
Represent a fictional library queue and a small catalogue in two different structures. Trace adding, finding and removing an item. Draw a five-node connection graph and carry out breadth-first search from a chosen starting point. Explain the visited order and compare the result after changing one connection. Keep a short note of which operation motivated each data-structure choice.
Treat this suggested exercise as independent practice provided by WikiFree. Keep a short working note containing your inputs, assumptions, result and one point you still need to check. Revisit the relevant recording when a step is unclear, then attempt a small variation without following the demonstration line by line. A result you can explain and reproduce is a more useful study outcome than simply recognizing a familiar term. The exercise is not submitted to an instructor for grading.
Certificate / Assessment
Watching these public recordings and using WikiFree completion tracking does not award a certificate, academic credit, an examination voucher or instructor assessment. The video curriculum is the material included here. Separate platform assignments, credentials and paid services are not part of video viewing. Use the practice output to review which concepts you can explain, which steps you can repeat independently and which questions need another look at the teaching.
Related courses for your next step
- Add a related skillJavaScript Programming Fundamentals: Free Course
Focus: Control flow · Functions
Beginner - Compare another approachFree Simplilearn Course: Data Structures and Algorithms
Focus: Arrays & Lists · Trees & Graphs
Intermediate - Compare another approachFree MIT Course: Algorithms and Data Structures
Focus: 1. Algorithms and Computation · Problem Session 3
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Data Structures and Algorithms in JavaScript: Free Course | Intermediate | Data structures · JavaScript · Trees | 3h 52m of video; practice time is additional |
| JavaScript Programming Fundamentals: Free Course | Beginner | JavaScript · Control flow · Functions | 3h 0m of video; practice time is additional |
| Free Simplilearn Course: Data Structures and Algorithms | Intermediate | Arrays & Lists · Trees & Graphs · Search & Sort | 56h 43m of video; practice time is additional |
| Free MIT Course: Algorithms and Data Structures | Intermediate | 1. Algorithms and Computation · Problem Session 3 · 11. Weighted Shortest Paths | 35h 19m of video; practice time is additional |
Frequently asked questions
Is this course free to watch?
Yes. The public recordings are available in the WikiFree classroom. Optional software, hardware, cloud services or credentials can have separate access requirements or costs; they are not required to watch the videos.
How long does the course take?
The 13 retained source video entries total approximately 3h 52m. Allow additional time for pausing, notes, independent practice and revisiting a difficult explanation.
What background do I need?
Basic JavaScript and comfort tracing loops and functions are recommended. Use small hand-checkable examples before implementing larger structures. The final complete course recording remains included in the source list.
Can I receive a certificate here?
No. Watching the videos and marking lessons complete records your study progress; it does not issue a certificate, academic credit or an exam voucher.
Can I study on a phone?
Yes. The classroom supports a responsive player and searchable lesson list. A computer is useful when you want to reproduce programming, numerical or tool-based examples alongside a recording.
Provider: freeCodeCamp. Videos play from the freeCodeCamp channel on YouTube.
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