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LinkedList Complete Course for Beginners | Learn LinkedList from Scratch | Data Structures
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Data Structures and Algorithms (DSA): Stacks & Queues | Linked Lists | Sorting | Arrays - LinkedList Complete Course for Beginners | Learn LinkedList from Scratch | Data Structures

Master the Art of Data Structures & Algorithms: Crack Coding Interviews with Ease in 2023! Explore Comprehensive Tutorials & Interview Prep on Stacks, Queues, Graphs, and More. Get Ready to Ace FAANG with Expert Guidance from SCALER!

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17 learners

What you'll learn

Develop proficiency in implementing commonly used data structures such as stacks, queues, and linked lists
Enhance problem-solving skills by applying algorithms to various coding challenges
Understand and optimize time complexity for efficient algorithm performance
Master dynamic programming and graph theory techniques for complex problem-solving

This course includes

  • 389 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

In this tutorial, Arsh Goyal ( Senior Software Engineer, Samsung) will walk you through the (A-Z) of LinkedList in Data Structures. Be an expert in Data Structures and Algorithms now: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_linked-list-complete-course_india_all&utm_content=YTDescription What is a LinkedList? A linked list is a linear data structure where each element is a separate object. Linked list elements are not stored at a contiguous location; the elements are linked using pointers. Each node of a list is made up of two items - the data and a reference to the next node. The last node has a reference to null. The entry point into a linked list is called the head of the list. It should be noted that the head is not a separate node, but a reference to the first node. If the list is empty then the head is a null reference. What is Data Structure and Algorithms? Data Structure can be referred to as a collection of data objects that allows storing, organizing, and retrieving data on systems. An algorithm refers to a set of steps used in completing a certain task or to get the desired output. A deep understanding of Data Structures and algorithms helps in efficient and well-optimised coding. Data Structures and Algorithms are important since they are often considered to be the root or the foundation of computer science. They play an important role in implementing software and at the same time in the job interview process as well The following topics are covered in this LinkedList complete tutorial: 0:00 - Introduction 1:15 - Linked Lists 13:54 - Code For Linked List 41:38 - Adding New Node 1:10:45 - Adding Node Using Recursion 1:40:55 - Reversing A Linked List 2:42:18 - Linked List Cycle Detection 3:51:15 - Palindrome Linked List ---------------------------------------- About Scaler -------------------------------------------------- We are a tech-focused upskilling and reskilling platform catering to tech enthusiasts in universities and working professionals. There are more Scaler graduates working at Amazon than all of the IITs combined! Learn more about Scaler: https://bit.ly/3LPIiwi 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord - https://discord.com/invite/ejFeksEtTq 👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official 👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial 👉 Explore value packed reels, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/ 📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now! https://www.youtube.com/Scaler?sub_confirmation=1 #linkedlist #datastructures #dsalgo #SCALER #CreateImpact

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