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所在平台: Udemy |
课程主页: https://www.udemy.com/course/30-must-do-leetcode-questions-for-technical-interview/
课程评论：没有评论
**Coursera 课程总结：LeetCode 入门：30 天挑战** 本课程专为初学者设计，旨在帮助您打下坚实的 LeetCode 基础，为进入 FAANG 或其他产品导向型公司的面试做好准备。课程精选了 30 道“最常考面试题”，提供分步式解题指南，并深入分析时间、空间复杂度及优化方法。 通过本课程，您将学会如何运用恰当的数据结构，编写更优质的代码，并掌握解决 LeetCode 面试题的通用框架和常见模式。这些模式将帮助您快速识别问题的本质，选择最优数据结构，从而自信应对各类新的编程挑战。 **核心学习内容包括：** * **数据结构：** 数组、矩阵、哈希表、链表、栈、队列、树、二叉搜索树、堆、优先队列、图（邻接表、邻接矩阵） * **算法：** 深度优先搜索 (DFS)、动态规划 **讲师背景：** 授课讲师 Bijaya 拥有超过 12 年的丰富经验，曾在多国工作。他师从 IIT Delhi 算法领域的顶尖研究者，积累了深厚的算法功底，并发表了多篇相关研究论文。他已成功培训超过 1200 名学生，是您学习 LeetCode 的理想导师。
This course is for beginners who are starting out and want to learn leetcode. If you are planning to crack FAANG/any prod-based company interview then the course is going to give you a good foundation to start. This contains the 30-must do leetcode problem. For each problem, we will discuss a step-by-step guide how to solve and evaluate time and space compleity and optimise them. This course helps to use proper data structure and will help you to write better code.The goal of the course is to solve "30 most FAQ interview questions" and to give you a framework to answer ANY leetcode interview questions that you can see in the real interview. We will teach you the patterns which will help you identify the right data structure for right problem so that any new question that you get, you have the pattern in mind which help you to solve the problem in your programming interview.Data Structures Used:* Arrays* Matrices* Hash Tables* Linked lists* Stacks* Queues* Tree* Binary Search Trees* Heap * Priority Queues* Graphs* Adjacency List* Adjacency Matrix* DFS* Dynamic ProgrammingTaught by:Bijaya is an instructor who has over 12 years of experience and worked in multiple countries. He started training students while he was doing research work at IIT Delhi in the field of Algorithm. He published multiple research papers in the field of algorithms. He has already trained more than 1200 students. If you would like to know more stay in touch:)
