Ace the Tech Interview: Master Data Structures and Algorithms
What you will learn:
- Arrays
- Strings
- Linked Lists
- Stacks
- Queues
- Trees
- Graphs
- Hashing
- Sorting Algorithms
- Searching Algorithms
- Dynamic Programming
- Recursion
- Two-Pointer Technique
- Sliding Window Technique
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Dijkstra's Algorithm
- Bellman-Ford Algorithm
Description
Land your dream tech job or that well-deserved promotion! This intensive course provides focused practice on essential data structures and algorithms (DSA) crucial for acing coding interviews. Whether you're a coding novice or a seasoned programmer looking to sharpen your skills, we've got you covered.
We understand the pressure of technical interviews. That's why this course delivers a robust, hands-on approach. Forget passive learning – you'll actively tackle real-world interview questions and challenging practice problems through five rigorous practice tests. Each test features a diverse mix of multiple-choice and multiple-select questions, complete with in-depth explanations for every answer. Learn *why* the answer is correct, not just *that* it is.
Dive into a structured curriculum covering:
Arrays & Strings Mastery: Master fundamental array manipulation techniques like two-pointer approaches, sliding windows, and efficient string manipulation. Tackle classic problems such as finding maximum subarrays, rotating arrays, identifying anagrams, and recognizing palindromes.
Linked Lists & Stacks Proficiency: Explore the intricacies of singly and doubly linked lists, execute crucial stack operations, and apply stacks to solve problems like expression evaluation and finding next greater elements. Learn how to efficiently reverse linked lists and detect cycles.
Queues & Trees Expertise: Understand the nuances of queues, including circular queues and priority queues. Navigate binary trees and binary search trees, mastering various traversal techniques (inorder, preorder, postorder). Practice solving problems related to finding the lowest common ancestor and calculating tree depth.
Graphs & Hashing Strategies: Grasp graph representations using adjacency lists and matrices. Master graph traversal algorithms (BFS, DFS) and shortest path algorithms (Dijkstra's, Bellman-Ford). Develop proficiency in hash table usage, tackling common problems involving two sums and anagrams.
Sorting, Searching & Dynamic Programming: Learn and implement various sorting algorithms (Quick Sort, Merge Sort, Bubble Sort) and search algorithms (Binary Search, Linear Search). Gain a foundational understanding of dynamic programming and apply it to solve classic problems such as the Fibonacci sequence and the knapsack problem. Understand the differences between recursion and iteration, and when to use each.
This course isn't just about memorization; it's about building a deep understanding of core concepts. Prepare to excel in your next technical interview!