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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-structures-algorithm-interview/
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**Coursera课程总结：数据结构与算法面试准备实战** 本课程专为希望在求职或晋升中脱颖而出的学生和专业人士设计，聚焦于数据结构与算法（DSA）面试的关键概念和技巧。无论您的编程经验水平如何，本课程都将帮助您巩固技能，提升自信。 **核心内容：** * **数组与字符串：** 涵盖数组基础、双指针、滑动窗口、字符串操作、常见数组与字符串问题（如最大子数组、旋转数组、字母异位词、回文串）。 * **链表与栈：** 讲解链表基础（单向与双向）、栈操作、栈的应用（如表达式求值）、常见链表问题（如反转、环检测）以及栈问题（如有效括号、下一个更大元素）。 * **队列与树：** 介绍队列基础（循环队列、优先队列）、树基础（二叉树、二叉搜索树）、树的遍历（中序、前序、后序）以及常见树问题（如最近公共祖先、深度计算）。 * **图与哈希：** 涵盖图的表示（邻接表、邻接矩阵）、图的遍历算法（BFS、DFS）、最短路径算法（Dijkstra、Bellman-Ford）以及哈希表基础和常见哈希问题（如两数之和、字母异位词）。 * **排序、搜索与动态规划：** 讲解排序算法（快速排序、归并排序、冒泡排序）、搜索算法（二分查找、线性查找）以及动态规划基础和常见DP问题（如斐波那契数列、背包问题）。课程还将对比递归与迭代。 **课程特色：** * **实战练习：** 通过五套精心设计的练习测试，涵盖关键DSA主题和实际面试场景。 * **题型多样：** 包含单选题（MCQ）和多选题（MSQ）。 * **深度解析：** 对所有题目提供详细的答案解释，帮助您深入理解概念，而非仅仅 rote learning。 本课程旨在通过系统的练习和深入的讲解，帮助您在数据结构与算法面试中取得优异表现。
This course is designed for students and professionals who want to land a job or get a raise by successfully passing top interviews that focus on data structures and algorithms.In this course, you will learn the important concepts and techniques that interviewers often ask about. Whether you're new to programming or have some experience, this course will help you strengthen your skills and boost your confidence.You'll engage with practical exercises and real interview questions to ensure you're well-prepared.In this comprehensive practice test series, you'll engage with five carefully crafted tests, each containing a variety of questions that cover key DSA topics and real-world scenarios. Our tests feature both multiple-choice questions (MCQ) and multiple-select questions (MSQ), with detailed explanations provided for every answer. This means you won't just practice - you'll learn and understand the concepts behind each question.Course Outline:Arrays & StringsArray BasicsTwo-Pointer TechniqueSliding WindowString ManipulationCommon Array Problems (e.g., Maximum Subarray, Rotate Array)Common String Problems (e.g., Anagrams, Palindromes)Linked Lists & StacksLinked List FundamentalsSingle vs. Doubly Linked ListsStack OperationsApplications of Stacks (e.g., Expression Evaluation)Common Linked List Problems (e.g., Reversal, Cycle Detection)Stack Problems (e.g., Valid Parentheses, Next Greater Element)Queues & TreesQueue FundamentalsCircular Queue and Priority QueueTree Basics (Binary Trees, Binary Search Trees)Tree Traversals (Inorder, Preorder, Postorder)Common Tree Problems (e.g., Lowest Common Ancestor, Depth Calculation)Graphs & HashingGraph Representation (Adjacency List, Matrix)Graph Traversal Algorithms (BFS, DFS)Shortest Path Algorithms (Dijkstra's, Bellman-Ford)Hash Table BasicsCommon Hashing Problems (e.g., Two Sum, Anagrams)Sorting, Searching & Dynamic ProgrammingSorting Algorithms (Quick Sort, Merge Sort, Bubble Sort)Search Algorithms (Binary Search, Linear Search)Basics of Dynamic ProgrammingCommon DP Problems (e.g., Fibonacci, Knapsack Problem)Recursion vs. Iteration
