[align=center]Data Structure And Algorithm For Interview Preparation[Java]
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.03 GB | Duration: 5h 57m

Competitive coding in Java[/center]

What you'll learn
Can attain high level problem solving skills using Data structures and Algorithms
Useful for clearing Online tests in Hacker rank, Hacker earth etc
Can be ready for taking interviews which focus on DSA
You will become a good problem solver and developer
You will develop your debugging skills

Requirements
Need to know Java programming
Have a great desire to learn DSA

Description
This course mainly focuses on problem-solving using Data structures and algorithms in Java. Why DSA?A person who has strong DSA skills will have a better and more efficient way of solving problems. A lot of software companies conduct DSA rounds to test a candidate's problem-solving and coding skills.Big companies like Google, FaceBook, Amazon, PayPal, Microsoft, etc ask DSA questions in most of their coding rounds.DSA skills are required for competitive coding and for clearing online coding interviews from Hackerrank, Hacker earth etc.Why DSA skill is asked in interviews?Big companies like Facebook and Google can't ask you about the technologies required for work because they're proprietary. People who haven't worked at Google haven't ever seen the technologies they'll be using because they don't exist outside of Google. You can't effectively test someone on something they have no way of knowing.So instead you want to test people on how smart they are, how good they are at solving problems, and how quickly they can pick up new technologies. This is very difficult to test in an hour, so algorithms and data structures are used.How this course is structured?This course uses Leetcode questions to demonstrate how problems can be solved using DSA. Some of the famous interview questions are taken and solved topic-wise. Debugger is used to demonstrate the code flow in Leetcode. What are the topics covered in this course?Basics of Data structures - what are arrays, strings, sets, lists, maps and how to declare, iterate and access them.ArraysStringsLinkedListStackDepth-first searchTreeTopics - Graph, Dynamic programming, and backtracking will be added shortly in a few weeks

Overview
Section 1: Basic concepts of Data structures

Lecture 1 Time and Space Complexity

Lecture 2 What is Array and How do we work with Arrays

Lecture 3 Handling Strings

Lecture 4 List and it's types

Lecture 5 Set and it's types

Lecture 6 Maps and it's types

Lecture 7 What is Stack

Lecture 8 What is Queue

Section 2: Arrays

Lecture 9 Find Duplicate element

Lecture 10 Valid mountain array using two pointer approach

Lecture 11 Sorted squares

Section 3: Strings

Lecture 12 First non-repeating Character in a string

Lecture 13 Find Anagram

Lecture 14 Group Anagrams

Lecture 15 Valid string with parenthesis

Section 4: LinkedList

Lecture 16 Print all elements in LinkedList

Lecture 17 Deleting a node in Linkedlist

Lecture 18 Find Middle element in Linkedlist

Lecture 19 Remove nth node from end

Lecture 20 Reverse a LinkedList

Section 5: Stack

Lecture 21 Valid Parenthesis

Lecture 22 Backspace string compare

Lecture 23 Simplify path

Lecture 24 Next greater element

Section 6: Depth First Search in 2D Arrays

Lecture 25 Flood fill

Lecture 26 Number of islands

Lecture 27 Maximum area of island

Section 7: Dynamic Programming

Lecture 28 Minimum path sum

Section 8: Trees

Lecture 29 BFS in Trees

Lecture 30 Zig Zag traversal in Tree

Lecture 31 Right View of Tree

Lecture 32 DFS - In order Traversal

Lecture 33 DFS - Pre order traversal

Lecture 34 DFS - Post order Traversal

Beginner in learning Data structures,Computer science students,Candidates who are looking forward to clear DSA rounds in any interview

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