Data Structure Algorithms Complete Course in Java

Data Structure & Algorithms Complete Course in Java, available at $22.99, has an average rating of 3.65, with 95 lectures, based on 22 reviews, and has 126 subscribers.

You will learn about Hands-on experience in implementing Data Structures and Algorithms in Java Analyzing the efficiency of algorithms and choosing the best algorithm for a particular problem Developing efficient and optimized software applications using Data Structures and Algorithms in Java Understanding the importance and applications of Data Structures and Algorithms in Java programming. This course is ideal for individuals who are Beginner programmers who want to learn Data Structures and Algorithms in Java. or Experienced programmers who want to enhance their knowledge and skills in Data Structures and Algorithms in Java. or Students pursuing Computer Science or related degrees who want to deepen their understanding of Data Structures and Algorithms in Java. or Professionals who want to improve their job prospects by gaining expertise in Data Structures and Algorithms in Java. or Our student cracked interview with Microsoft with max package 1.2cr or Anyone who is interested in learning how to develop efficient and optimized software applications using Data Structures and Algorithms in Java. It is particularly useful for Beginner programmers who want to learn Data Structures and Algorithms in Java. or Experienced programmers who want to enhance their knowledge and skills in Data Structures and Algorithms in Java. or Students pursuing Computer Science or related degrees who want to deepen their understanding of Data Structures and Algorithms in Java. or Professionals who want to improve their job prospects by gaining expertise in Data Structures and Algorithms in Java. or Our student cracked interview with Microsoft with max package 1.2cr or Anyone who is interested in learning how to develop efficient and optimized software applications using Data Structures and Algorithms in Java.

Enroll now: Data Structure & Algorithms Complete Course in Java

Summary

Title: Data Structure & Algorithms Complete Course in Java

Price: $22.99

Average Rating: 3.65

Number of Lectures: 95

Number of Published Lectures: 95

Number of Curriculum Items: 95

Number of Published Curriculum Objects: 95

Original Price: ?999

Quality Status: approved

Status: Live

What You Will Learn

Hands-on experience in implementing Data Structures and Algorithms in Java

Analyzing the efficiency of algorithms and choosing the best algorithm for a particular problem

Developing efficient and optimized software applications using Data Structures and Algorithms in Java

Understanding the importance and applications of Data Structures and Algorithms in Java programming.

Who Should Attend

Beginner programmers who want to learn Data Structures and Algorithms in Java.

Experienced programmers who want to enhance their knowledge and skills in Data Structures and Algorithms in Java.

Students pursuing Computer Science or related degrees who want to deepen their understanding of Data Structures and Algorithms in Java.

Professionals who want to improve their job prospects by gaining expertise in Data Structures and Algorithms in Java.

Our student cracked interview with Microsoft with max package 1.2cr

Anyone who is interested in learning how to develop efficient and optimized software applications using Data Structures and Algorithms in Java.

Target Audiences

Beginner programmers who want to learn Data Structures and Algorithms in Java.

Experienced programmers who want to enhance their knowledge and skills in Data Structures and Algorithms in Java.

Students pursuing Computer Science or related degrees who want to deepen their understanding of Data Structures and Algorithms in Java.

Professionals who want to improve their job prospects by gaining expertise in Data Structures and Algorithms in Java.

Our student cracked interview with Microsoft with max package 1.2cr

Anyone who is interested in learning how to develop efficient and optimized software applications using Data Structures and Algorithms in Java.

Data Structure and algorithm Course in Java

The Complete Course in Java is a comprehensive course that covers everything you need to know about Data Structures and Algorithms in Java. The course is designed for beginners and covers all the essential topics required to develop efficient software applications.

Some of the topics covered in the course are:

Introduction to Data Structures and Algorithms

Arrays and Linked Lists

Stacks and Queues

Trees and Binary Trees

Sorting Algorithms and Searching Algorithms

Recursion and Backtracking

Graphs and Graph Algorithms

Data Structures and Algorithms are the backbone of computer science.They are essential for solving complex problems and developing efficient software applications. Data Structures are the building blocks of programs that allow efficient storage and retrieval of data. Algorithms, on the other hand, are a set of instructions or rules that are followed to solve a particular problem. They help in improving the efficiency of the program and reducing the time and resources required for its execution.

The course provides hands-on experience in implementing Data Structures and Algorithms in Javathrough coding exercises and projects. The course also includes quizzes and assessments to test your understanding of the concepts.

Learning Data Structures and Algorithms in Java is essential for anyone looking to become a proficient programmer. It helps in developing efficient and optimized software applications that can handle large datasets and complex problems. The Complete Course in Java provides a comprehensive and structured approach to learning Data Structures and Algorithms in Java.

Data Structure, Algorithms  Course For Cracking Coding for Top product-based companies.  Each topic explains from a very basic to an advanced level by using multiple examples. More focus is on Tricks, Techniques, and implementation than theory.

This course explains all the deep concepts of Data structure and Algorithms with the help of problems. These problems are frequently asked during interviews.

This course is for students in colleges preparing for campus placements and also for working professionals who want to crack interviews.

Course Curriculum

Chapter 1: Array problems solving techniques with examples

Lecture 1: Time Complexity and Space Complexity Introduction

Lecture 2: Design a data Structure which support Insert delete, Random in O(1) time

Lecture 3: Segregation logic to Sort an array of 0s, 1s and 2s

Lecture 4: Merge Sort Introduction

Lecture 5: Merge Sort Code Implementation

Lecture 6: Linear time approach to solve jump game problem

Lecture 7: Digit rearrangement method to find next greater number with same set of digits

Lecture 8: Greedy Techniques to find minimum number of platforms

Lecture 9: Print matrix in spiral order without any extra space

Lecture 10: Count frequencies of array elements in O(n) time complexity

Lecture 11: Linear time approach to solve Stock Buy Sell Problem

Lecture 12: In-place matrix rotation by 90 degree problem

Lecture 13: Array puzzle of solving celebrity problem

Lecture 14: Next Permutation Problem

Lecture 15: QuickSelect Algorithm to find the Kth smallest Element in array – 1

Lecture 16: QuickSelect Algorithm to find the Kth smallest Element in array – 2

Lecture 17: Binary search method to find square root of an element

Lecture 18: Rain Trapping Problem

Lecture 19: Merge sort method to Count inversion in an array

Lecture 20: Binary search method to find Median of two sorted Array

Lecture 21: Smallest window in a string containing all characters of another string – 1

Lecture 22: Smallest window in a string containing all characters of another string – 2

Chapter 2: Linked List problem

Lecture 1: Linked List Creation Introduction

Lecture 2: Single Linked List (Insertion, Search)

Lecture 3: Double Linked List (Insertion, Search)

Lecture 4: Flattering of LinkedList

Lecture 5: Merge two Sorted Linked List

Lecture 6: Sort Linked List using Merge Sort

Lecture 7: Clone a Linked List

Lecture 8: Reverse K Linked List

Chapter 3: Stack/Queue Problems

Lecture 1: Stack Operation Implementation

Lecture 2: Queue Operation Implementation

Lecture 3: Circular Queue Implementation

Lecture 4: Histogram Problem

Lecture 5: Stack that Supports getMin() in O(1)

Lecture 6: Find Maximum size rectangle in Binary Sub-matrix

Lecture 7: Sliding Window Problem using deque Data Structure

Chapter 4: Binary Tree Problems

Lecture 1: Binary Search Algorithm Introduction

Lecture 2: Connect Nodes at Same level in a Binary Tree

Lecture 3: Convert a Binary Tree to Doubly Linked List

Lecture 4: Print nodes at k distance from root

Lecture 5: Print all Nodes at Distance k from a given Node

Lecture 6: Boundary Traversal of Binary Tree

Lecture 7: Bottom View of Binary Tree

Lecture 8: Construct Tree from PostOrder

Lecture 9: Diameter of Binary tree

Lecture 10: Left View of Binary Tree

Lecture 11: Reverse level order Traversal of Binary Tree

Lecture 12: Vertical sum of Binary Tree

Lecture 13: Spiral Order of Binary Tree

Lecture 14: Serialize and Deserialize a Binary Tree

Lecture 15: Check if two N-ary trees are Mirror image or not

Lecture 16: Maximum Path Sum in a Binary Tree

Chapter 5: Hashing/Heap Sort

Lecture 1: Heapify operation implementation

Lecture 2: Min/Max Heap Implementation

Lecture 3: Group Anagrams Together

Lecture 4: Find first non-repeating character from a stream of characters

Lecture 5: Design and implement LRU

Lecture 6: Four Sum Problem

Lecture 7: Convert Number to Words Problems

Lecture 8: Median of running data streams problem

Lecture 9: Merge k Sorted arrays

Chapter 6: Graph Algorithms & Application

Lecture 1: Depth-first search method to find cycle in a graph

Lecture 2: Topological sorting concepts and implementation

Lecture 3: Find Number of IsLand in matrix

Lecture 4: Dijkstra Algorithm explanation with example

Lecture 5: Topological Algorithm to solve alien dictionary problem

Lecture 6: Breadth first search algorithm to solve Rotten Orange Problem

Lecture 7: Trie data structure approach to solve word boggle Problem

Lecture 8: Breadth first search algorithm to solve snake ladder problem

Lecture 9: Understanding Queue based approach to Jumping Number problem

Lecture 10: Trie data Structure implementation

Lecture 11: Type head suggestion problem

Chapter 7: Backtracking Algorithm Explanation with Examples

Lecture 1: N Queen Problem

Lecture 2: Sudoku Solving Problem – 1

Lecture 3: Sudoku solving Problem – 2

Lecture 4: Print all Permutations of a given String

Lecture 5: Rat Maze Problem

Lecture 6: Knight Walk Problem

Lecture 7: Implement pow(x, n)

Chapter 8: Dynamic Programming tips and tricks with examples

Lecture 1: How to Solve DP problems

Lecture 2: Longest Common Subsequences

Lecture 3: Edit Distance Problem

Lecture 4: Coin Change Problem

Lecture 5: Longest Palindrome Subsequences

Lecture 6: Word Break Problem

Lecture 7: Egg Dropping Problem

Lecture 8: KnapSack Problems

Lecture 9: Keystroke Problem

Lecture 10: String interleave Problem

Lecture 11: Partition Problem

Lecture 12: Wild Card Problem

Instructors

Ravi Singh
Engineer at WalmartLabs

Rating Distribution

1 stars: 2 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 2 votes

5 stars: 16 votes

Frequently Asked Questions

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