The article provides an in-depth exploration of JavaScript data structures, emphasizing their importance in managing data effectively. It begins by discussing stacks, which operate on a Last-In-First-Out (LIFO) principle, and explains how to implement their core methods: push, pop, and peek. It then transitions to queues, which follow a First-In-First-Out (FIFO) approach, detailing the enqueue, dequeue, and peek methods using arrays. The article continues with linked lists, explaining their structure and the implementation of basic operations such as insert, removeAt, and clearList. Hash tables are introduced next, highlighting their use in mapping keys to values and covering the implementation of insert, get, and remove methods. Finally, the article addresses binary search trees, explaining the concepts of nodes and children and detailing the add and contains methods for tree operations. The comprehensive guide aims to enhance understanding of these data structures, which are crucial for technical interviews and effective problem-solving in software development.