
Access a dedicated dsa resource hub at dsa.one learning dot com with pattern-based problems, local storage progress, and multi-language code solutions in python, javascript, java, and cpp.
Explore the two sum problem and its solutions. Use brute force, sorting, and a hash map to efficiently find indices that add to the target.
Reverse a singly linked list efficiently by using three pointers (previous, current, next) to invert links, starting from the head and ending at null, after exploring a brute-force stack approach.
Reorder a singly linked list in place by using slow and fast pointers to find the middle, reverse the second half, and merge to form the alternating head-tail pattern.
Merge k sorted linked lists by divide and conquer, pairing lists to merge until one sorted list remains. It runs in o(n log k) time with space complexity o(log k).
Determine if the secondary tree is a subtree of the main tree by recursively comparing values and structure with a same-tree check, using dfs and base cases for nulls.
Welcome to "Leetcode For Beginners: Crack DSA Interviews With Blind 75+" your comprehensive guide to mastering Data Structures and Algorithms (DSA) and acing coding interviews at top tech companies!
This course is specially designed for beginners looking to build a solid foundation in DSA, equipping them with the skills and confidence needed to solve complex problems and excel in technical interviews.
With 35+ hours of in-depth video content, this course will walk you step-by-step through 14 essential problem-solving patterns that are frequently tested in coding interviews. You’ll tackle 80-100 of the most important Leetcode problems, including questions from the famous Blind 75 list - carefully chosen to prepare you for success in real-world interviews.
What patterns will we cover?
Throughout the course, you will explore 14 crucial patterns that are key to solving most DSA problems encountered during technical interviews:
Array, String: Manipulation / Hashing
Array, String: Two Pointers
Array, String: Sliding Window
Linked List: Fast and Slow Pointers
Stack
Binary Search
Trees: DFS/BFS
Backtracking
Tries
Graphs: DFS / BFS / Union Find
Dynamic Programming (DP): Memoization / Tabulation
Greedy Algorithms
Merge Intervals
Matrix
Binary: Bit Manipulation
Throughout the journey, we also work with,
Divide & Conquer
Top K Elements
Topological Sort
Kadane's Algorithm
Prerequisites
To make the most of this course, it’s recommended that you have:
Basic Knowledge of Data Structures and Algorithms: Familiarity with fundamental data structures like arrays, linked lists, trees, graphs and basic sorting/searching techniques.
Understanding of Space and Time Complexity: A basic understanding of how to evaluate the efficiency of algorithms using time complexity (Big O notation) and space complexity.
Who is this course for?
Whether you are an aspiring software developer, a self-taught programmer, or a computer science student preparing for job interviews, this course is ideal for you. We start with the basics to make every concept approachable and practical, while still ensuring that you build up to solving more advanced problems confidently.
Why take this course?
By the end of this course, you will have practiced solving 80-100 Leetcode problems and gained the skills to approach each problem strategically. Instead of memorizing answers, you’ll develop a problem-solving mindset that allows you to independently solve new questions effectively and efficiently.
With 35+ hours of video content covering the best patterns, questions, and approaches, prepare yourself for coding interviews and confidently master data structures and algorithms. Begin your journey to success today!