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Master Coding Interview :Data structures + Algorithms | Free Udemy Course
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Master Coding Interview :Data structures + Algorithms | Free Udemy Course

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Price expires 1 year ago or 730 uses

Ultimate 36 Hour coding interview bootcamp. Get the job you want! | Free Udemy Course

bestseller
4.43
(298 ratings)
23649 students
Created by:
Last updated 12/2022Course Language EnglishCourse Caption English [Auto]Course Length 39:08:04 to be exact 140884 seconds!Number of Lectures 285
This course includes:
  • 39 hours hours of on-demand video
  • 26 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • 99 additional resources

Our Students Speak :⭐️⭐️⭐️⭐️⭐️The teacher has fantastic ability to transfer understanding of a concept not just pass along his knowledge of the concept.-Liam Bailes⭐️⭐️⭐️⭐️⭐️This course is excellent and a great method to learn about Data Structures and Algorithms. It's fantastic for learning how to solve problems and construct reasoning.-Parth⭐️⭐️⭐️⭐️⭐️Best course. Since Data structure is one of the basic subject for programming, this course provides an complete overview of all components of Data Structures. This course is very good for students at the beginner level who wants to know the fundamentals and advanced concepts of Data Structures and Algorithms.-Newton⭐️⭐️⭐️⭐️⭐️The course is really helpful, Must learn course while preparing for Tier 1 companies. Explains the concepts well and in an easily understandable way.-Dennis PaulMany More ! Check the review section below.ABOUT THE COURSE: Welcome to the Coding Interview Bootcamp! Once you get an interview from a top tech company, the only thing that matters for you to get your dream Software Engineering role is your performance in the coding Interviews. The only way to ace the coding interview is to take one problem at a time and really understand how to solve it and then do this for a lot of problems to get sufficient tools and techniques in your arsenal to face and conquer any coding interview. This is what my aim is for you with this course.This course is structured as DAILY CODING CHALLENGES to give you a clear target for every day. By not missing a single day and by staying consistent you will have solved a variety of questions by the end of this course, getting you prepared for coding interviews and more practice on your own from Leetcode. We start right from the basics and discuss Big O analysis and then move on to cover the common data structures and then discuss real life problems asked in Big Tech companies such as Google, Meta, Amazon, Netflix, Apple, Microsoft etc. For Each Question we discuss : 1. The Logic or the method by which we can approach this question in an optimal manner 2. The Time and Space complexity of the Solution 3. Code the Solution in Javascript ( You can follow along in any coding language of your choice)This course also includes multiple downloadable resources, trackers to keep you motivated, and cheat sheets to make your coding interview prep smooth. COURSE OUTLINEDAY 1: Arrays Data Structures and AlgorithmsData Structures IntroductionBig ODS: Arrays Crash CourseCoding Interview Q1: Sorted Squared ArrayCoding Interview Q2: Monotonic ArrayDAY 2: Arrays Data Structures and AlgorithmsCoding Interview Q1: Rotate ArrayCoding Interview Q2:Container with most WaterDAY 3: Hash Tables Data Structures and AlgorithmsDS: Hash Tables Crash CourseCoding Interview Q1: Two SumCoding Interview Q2:Isomorphic StringsDAY 4: Recursion AlgorithmsCoding Interview Q1: FibonacciCoding Interview Q2:Power SumDAY 5: Recursion AlgorithmsCoding Interview Q1: PermutationsCoding Interview Q2:Power SetDAY 6: String Data Structures and AlgorithmsDS: Strings Crash CourseCoding Interview Q1: Non repeating characterCoding Interview Q2: PalindromeDAY 7: String Data Structures and AlgorithmsCoding Interview Q1: Longest Unique char Substring Coding Interview Q2: Group AnagramsDAY 8: Searching Algorithms Coding Interview Q1: Binary SearchCoding Interview Q2: Search in Rotated Sorted arrayDAY 9: Searching AlgorithmsCoding Interview Q1: Find First and Last Position of Element in Sorted ArrayCoding Interview Q2: Search in 2D ArrayDAY 10: Sorting AlgorithmsCoding Interview Q1: Bubble SortCoding Interview Q2: Insertion SortDAY 11: Sorting AlgorithmsCoding Interview Q1: Selection SortCoding Interview Q2: Merge SortDAY 12: Sorting AlgorithmsCoding Interview Q1: Quick SortCoding Interview Q2: Radix SortDAY 13: Singly Linked List Data Structures and AlgorithmsDS: Linked List Crash CourseCoding Interview Q1: Construct SLLCoding Interview Q2: delete duplicates Day 14: Singly Linked List Data Structures and AlgorithmsCoding Interview Q1: Reverse SLLCoding Interview Q2: Cycle DetectionDAY 15: Singly Linked List Data Structures and AlgorithmsCoding Interview Q1: find duplicate numberCoding Interview Q2: Add 2 numbersDAY 16: Doubly Linked List Data Structures and AlgorithmsCoding Interview Q1: DLL remove insert Coding Interview Q2: DLL remove all, insert at positionDAY 17: Stacks Data Structures and AlgorithmsDS: Stacks Crash CourseCoding Interview Q1: Construct StackCoding Interview Q2: Reverse Polish NotationDAY 18: Queues Data Structures and AlgorithmsDS: Queues Crash CourseCoding Interview Q1: Construct QueueCoding Interview Q2: Implement Queue with StackDAY 19: Binary Tree and Binary Search Tree Data Structures and AlgorithmsDS: Binary Tree, Binary Search Tree Crash CourseCoding Interview Q1: Construct BSTCoding Interview Q2: Traverse BST (Breadth first and Depth first - Inorder, Preorder,Post order)DAY 20: Binary Tree and Binary Search Tree Data Structures and AlgorithmsCoding Interview Q1: Level Order traversalCoding Interview Q2: Left/Right View of binary treeDAY 21: Binary Tree and Binary Search Tree Data Structures and AlgorithmsCoding Interview Q1: Invert Binary TreeCoding Interview Q2: Diameter of binary treeDAY 22: Binary Tree and Binary Search Tree Data Structures and AlgorithmsCoding Interview Q1: Convert Sorted Array to Binary Search TreeCoding Interview Q2: Validate BSTDAY 23: Heaps and Priority Queue Data Structures and AlgorithmsDS: Heaps Crash CourseCoding Interview Q1: Max Heap ConstructionCoding Interview Q2: min Priority Queue ConstructionDAY 24: Graphs Data Structures and AlgorithmsDS: Graphs Crash CourseCoding Interview Q1: BFS - Adj List and Adj MatrixCoding Interview Q2: DFS - Iterative and RecursiveDAY 25: Graphs Data Structures and AlgorithmsCoding Interview Q1: Number of connected componentsCoding Interview Q2: Course Scheduler / Topological sortI'm sure you'll love this course and so we're offering a full money-back guarantee for 30 days in case you are not sure at the moment! Enroll today and see you inside the course !Let's make your dreams come true - JacksonWho this course is for:Students who are about to graduate and trying to get into top Tech companies as software engineersSelf taught programmers looking for their first jobExperienced developers wanting to get into MAANG companies ( top tech firms)

Course Content:

Sections are minimized for better readability, click the section title to view the course content

22 Lectures | 02:14:11
15 Lectures | 01:31:09
15 Lectures | 01:35:56
18 Lectures | 01:50:26
11 Lectures | 01:43:51
24 Lectures | 01:25:18
10 Lectures | 01:14:10
11 Lectures | 01:29:27
11 Lectures | 01:48:38
10 Lectures | 01:05:57
7 Lectures | 01:04:08
9 Lectures | 02:28:26
10 Lectures | 01:50:52
9 Lectures | 48:58
7 Lectures | 40:38
16 Lectures | 01:29:05
7 Lectures | 45:05
6 Lectures | 45:54
12 Lectures | 03:16:30
9 Lectures | 01:21:51
9 Lectures | 01:05:27
7 Lectures | 01:16:49
10 Lectures | 02:10:29
9 Lectures | 01:55:23
10 Lectures | 02:09:06
1 Lectures | 00:09
4.43
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