CS & IT

Ultimate guide to acing the coding interview, a very dynamic course presented to you by Sanket Kashyap. All those aspirants who feel that they need some more preparation to get into their dream company and to top in the coding interview, this would be a perfect course. This course initiates with the lesson through which you will learn the concepts of linked lists. After you attain the theoretical knowledge on linked list, next unit focusses on some typical problems on linked lists. The next topic taught by him is on binary trees, which is then followed by binary search trees, heap, binary search, merge sort, quick sort, dynamic programming levelling up DP, the greedy paradigm, bitwise tricks introduction to graphs, Breadth First Search and Depth First Search. These are the topics which you will study in this entire course. Sanket also invites some of his Friends who have placed in the top companies like Google, Amazon to talk about the importance of certain coding concepts which one must know while appearing for the interviews.

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Ultimate Guide To Acing A Coding Interview

Competitive Programming

Technical Interview

Interview Preparation & GD

Personal and Skill Development

In this lesson, we cover some classical Dynamic Programming problems and discuss their code. The first problem covered is the Minimum Cost Path in a Matrix which is a very commonly repeated interview question. Thereby, the Longest Common Subsequence Problem, a real classic problem is discussed. Again variations of this are frequently asked in interviews. The last problem discussed is The Longest Increasing Subsequence Problem.

Levelling Up In Dynamic Programming

Overview Of The Course: Ultimate Guide To Acing A Coding Interview

Starting With Linked Lists

Typical Problems On Linked Lists

Binary Trees: Meaning And Associated Terminology

Binary Search Trees: Writing, Traversing And Deleting

Heaps: Meaning, Types & Implementation

Importance Of Binary Search

Mergesort: Meaning & Implementation

Quicksort: Meaning & Coding

Introduction To Dynamic Programming

Learn The Greedy Programming Paradigm

Learn Bitwise Operations Tricks

Introduction To Graph Theory

Breadth First Search And Depth First Search

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Levelling Up In Dynamic Programming

Sanket Kashyap

Ultimate Guide To Acing A Coding Interview

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