# Data Structures and Algorithms Hands-On Labs

Hands-On Learning

Hands-On Labs

Total Duration

## Course Overview

This course is designed to provide a comprehensive, practical understanding of Data Structures and Algorithms, foundational pillars of computer science and essential tools for efficient problem-solving and software development. Through hands-on labs, participants will learn to implement, analyze, and optimize various data structures and algorithms, focusing on best practices and real-world applications.

Key Highlights of Getting Started with Data Structure and Algorithms Hands-on Learning

1. 81 Hands-on-labs
2. Learning at your own pace
3. Engaging and interactive learning

Key Objectives of Getting Started with Data Structure and Algorithms Hands-on Learning

By the end of this course, participants will be able to:

1. Understand Big-O notation and basic operations on arrays and linked lists.
2. Solve problems like element frequency, array leaders, and zero-sum triplets.
3. Master array manipulations, such as merging, moving zeros, and minimizing jumps.
4. Explore advanced structures: binary search trees, circular, and doubly linked lists.
5. Develop and optimize search, sort, and manipulation algorithms.
6. Handle edge cases: fixed points, rotated arrays, and nearly sorted arrays.
7. Improve coding efficiency with frequency sorting, hash sets, and stack reversal.
8. Solve real-world challenges: chocolate distribution, subsequence counting, BFS traversal.
9. Perform linked list operations: sorting values, deleting primes, and managing circular lists.
10. Master binary tree/BST operations: validation, closest element, conversions.
11. Solve itinerary finding and LCS length problems.
12. Handle string operations: multiplying large numbers, camel case conversion.
13. Address matrix problems: 90-degree rotation, sorting.
14. Tackle array issues: missing elements, and nearly sorted arrays.
15. Enhance stack/queue skills: sorting, reversing, and finding the next nodes.

Who should take the Getting Started with Data Structure and Algorithms Hands-on Learning?

1. Beginners seeking a foundational understanding of data structures and algorithms.
2. Students and professionals want to enhance problem-solving and coding efficiency.
3. Developers aiming to solve real-world challenges with optimized algorithms.

Pre-requisites for Getting Started with Data Structure and Algorithms Hands-on Learning

1. Basic knowledge of C Programming, Java, and Python.
2. Good Understanding of Data Structures & Algorithms.
3. Familiarity with basic programming concepts and logic.

Want to learn a Data Structure and Algorithms? Refer to this linkData Structure and Algorithms Course

## Included in this Data Structures and Algorithms Hands-On Labs

•   Hands-On Labs 81 Labs
##### Hands-On LabsLabs(81)

Java: Count the frequency of an element in an Array

00:20:00

Java: Ceiling in a Sorted Array

00:25:00

Java: Construct a linked list from 2D matrix

00:30:00

Java: Reverse a Stack using Recursion

00:25:00

Java: Check whether a Binary Tree is BST or Not

00:30:00

Java: Two Sum

00:30:00

Java: Two Sum

00:30:00

Java: Deletion in a Binary Tree

00:40:00

Java: Find next right node of a given key

00:30:00

Java: Big-O-Binary Search Algorithm

00:15:00

Java: Traversing directory in Java using BFS

00:20:00

Java: Check if two nodes are cousins in a Binary Tree

00:50:00

Java: Contains Duplicate

00:20:00

Java: Merge Sorted Arrays

00:25:00

Java: Check whether the two Binary Search Trees are Identical or Not

00:35:00

Java: Delete consecutive same words in a sequence

00:25:00

Java: Convert given Binary Tree to Doubly Linked List in Linear Time

00:25:00

Java: Count 1’s in a Sorted Binary Array

00:20:00

Java: Find all triplets with zero sum

00:20:00

Java: Leaders in an array

00:20:00

Java: Find a Fixed Point (Value equal to Index) in given Array

00:25:00

Java: Count Nodes in Circular Linked List

00:25:00

Java: Sort a Stack using another stack

00:30:00

Java: Find the Closest Element in Binary Search Tree

00:35:00

Java: Search Insert Position

00:25:00

Java: Longest Substring without Repeating Characters

00:30:00

Java: Convert Binary Tree to Doubly Linked List

00:50:00

Java: Minimum time required to rot all oranges

00:40:00

Java: Height of a Generic Tree from Parent Array

00:50:00

Java: Group Anagrams

00:35:00

Java: First Bad Version

00:30:00

Java: Insertion in a Binary Tree in Level Order

00:35:00

Java: Next Greater Element

00:30:00

Java: Delete all Prime Nodes from a Doubly Linked List

00:35:00

Java: Search an Element in a Sorted and Rotated Array

00:30:00

Java: Meeting Rooms

00:25:00

Java: Merge Two Sorted Arrays

00:20:00

Java: Two Elements whose Sum is Closest to Zero

00:30:00

Java: Deletion from a Circular Linked List

00:35:00

Java: Trapping rain water

00:30:00

Java: Find right Sibling of a binary tree with parent pointers

00:40:00

Java: Find Peak Element

00:30:00

Java: Valid Sudoku

00:40:00

Java: Find Distance between two nodes of a Binary Tree

00:50:00

Java: Binary Tree to Binary Search Tree Conversion

00:40:00

Java: Subarray Sum Equals K

00:25:00

Java: Search in Rotated Sorted Array

00:25:00

Java: Largest rectangle in histogram

00:25:00

Java: Remove Duplicates from a sorted Linked List

00:25:00

Java: Search in an Almost Sorted Array

00:25:00

Java: Minimum Number of Jumps to Reach End in Array

00:25:00

Java: Move all Zeros to the beginning of an array

00:25:00

Java: Median of Two Sorted Arrays of Different Sizes

00:30:00

Java: Reverse a Doubly Linked List

00:20:00

Java: 3 Sum

00:25:00

Java: Minimum Window Substring

00:30:00

Java: Design HashSet

00:25:00

Java: Search a 2D Matrix

00:20:00

Java: Traversal of Circular Linked List

00:25:00

Java: A Pair with a Given Sum in the Rotated Sorted Array

00:25:00

Java: Remove Duplicates from an Array

00:20:00

Java: Rotate a Matrix by 90 degrees

00:25:00

Java: Sort Elements by Frequency

00:30:00

Java: Find Minimum in Rotated Sorted Array

00:25:00

Java: Find Minimum in Rotated Sorted Array II

00:35:00

Java: Sort a Linked List of 0s, 1s and 2s

00:35:00

Java: Rotate an Array to the left

00:20:00

Java: Camel Case of a given Sentence

00:20:00

Java: Find Missing Elements of a Range

00:25:00

Java: Sort a Nearly Sorted (or K sorted) Array

00:20:00

Java: Count ways to increase LCS length of two Strings by one

00:25:00

Java: Minimum rotations required to get the same string

00:15:00

Java: Chocolate Distribution Problem

00:30:00

Java: Minimum Swaps required to convert binary tree to binary search tree

00:30:00

Java: Multiply Large Numbers represented as Strings

00:25:00

Java: Find Itinerary from a given list of tickets

00:25:00

Java: Count Distinct Occurrences as a Subsequence

00:30:00

Java: Sort a Matrix in all way Increasing Order

00:20:00

Java: Find the length of the largest subarray with 0 Sum

00:25:00

Java: Longest Increasing Consecutive Subsequence

00:25:00

Java: Find Whether an Array is a Subset of Another Array

00:20:00

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