JavaScript Data Structures & Algorithms
This course makes learning to code fun and simplifies complex concepts using animations. By animating Data Structures & Algorithms, the content becomes more visually engaging, allowing students to learn more effectively and retain information longer. Throughout the course, students are guided step-by-step with visual aids, making even the most challenging topics easier to understand. The course also includes dozens of coding exercises to immediately reinforce learning. Covering essential topics such as Big O notation, arrays, linked lists, doubly linked lists, stacks, queues, binary trees, hash tables, graphs, and various sorting and searching algorithms like Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and Breadth First Search, this comprehensive program ensures students are well-prepared for coding interviews.
Skills for certificate:
JavaScript
TypeScript
Algorithms
Data Structures
Problem Solving
Critical Thinking
JavaScript Data Structures & Algorithms
UC-82b6ac18-df7a-40bf-aae4-8a977077beb5
Description
This course makes learning to code fun and simplifies complex concepts using animations. By animating Data Structures & Algorithms, the content becomes more visually engaging, allowing students to learn more effectively and retain information longer. Throughout the course, students are guided step-by-step with visual aids, making even the most challenging topics easier to understand. The course also includes dozens of coding exercises to immediately reinforce learning. Covering essential topics such as Big O notation, arrays, linked lists, doubly linked lists, stacks, queues, binary trees, hash tables, graphs, and various sorting and searching algorithms like Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and Breadth First Search, this comprehensive program ensures students are well-prepared for coding interviews.
Learning Objectives
- Understanding Big O notation, analyzing worst-case scenarios, and identifying complexities like O(n), O(n^2), O(1), and O(log n), especially for arrays and linked lists.
- Introducing linked lists, performing various operations (pop, unshift, shift, get, set, insert, remove, reverse), solving coding exercises, and addressing advanced topics like detecting loops and removing duplicates.
- Constructing doubly linked lists, performing essential operations (push, pop, unshift, shift, get, set, insert, remove), and handling advanced tasks like swapping nodes and checking for palindromes.
- Introducing and constructing stacks, implementing stack operations, and solving practical problems like reversing a string and checking for balanced parentheses.
- Introducing and constructing queues, and implementing enqueue and dequeue operations.
- Understanding binary search trees, constructing them, performing various operations (insertion, traversal, deletion), and checking for the existence of values.
- Introducing hash tables, handling collisions, constructing them, performing key-value operations, and solving common problems like finding common items and grouping anagrams.
- Introducing sets, performing operations like removing duplicates and checking for unique characters.
- Understanding graph representations, constructing graphs, and performing operations like adding/removing vertices and edges.
- Understanding heap operations, priority queues, and performing insertion and removal of elements in heaps.
- Understanding the call stack, calculating factorial, implementing recursive operations for binary search trees, and performing tree traversal methods (BFS, DFS).
- Understanding and implementing basic sorting algorithms (Bubble, Selection, Insertion), and applying sorting techniques like merge sort and quick sort to linked lists.
- Solving problems using dynamic programming, understanding overlapping subproblems, optimizing substructure, and implementing techniques like memoization and bottom-up dynamic programming.