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Queue in Data Structure Course 2023 | Data Structures and Algorithm | FIFO Principle | @SCALER
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Data Structures and Algorithms (DSA): Stacks & Queues | Linked Lists | Sorting | Arrays - Queue in Data Structure Course 2023 | Data Structures and Algorithm | FIFO Principle | @SCALER

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!

5.0 (2)
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

Prateek Narang, SWE and Instructor at Scaler brings an extensive introduction to queue in data structures. In this tutorial, we'll explore the fundamental concept of queues, understand how they work, and learn about their applications. Check out free masterclasses by industry-leading experts : https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_Queues-Tutorial-by-Prateek-Narang-2023&utm_content=YTDescription Watch the full tutorial on Data Structures here- https://youtu.be/Arw-xA31xs4 What are queues? Queues in data structures are abstract collections that follow the First-In-First-Out (FIFO) principle. Elements are added to the back and removed from the front. They are commonly used for managing processes, handling tasks, and implementing algorithms like breadth-first search. What is the first-in-first-out principle? The First-In-First-Out (FIFO) principle is a concept where the element that is first added to a collection or data structure is the first one to be removed or processed, resembling a queue or line where the earliest person in line is served first. What is DSA? DSA stands for Data Structures and Algorithms. It refers to a set of techniques and methods used to organise and manipulate data in a computer program. Data structures are a way of organising and storing data in a way that enables efficient access and modification, while algorithms are a set of instructions that perform a specific task or solve a problem. What is data structure? A data structure is a way of organising and storing data in a computer program so that it can be accessed and manipulated efficiently. It defines a set of rules for how data is organised, how it is accessed, and how operations can be performed on it. Examples include arrays, linked lists, and trees. What is an algorithm? An algorithm is a set of instructions for solving a problem or performing a task in a computer program. It defines a series of steps or procedures that must be followed in order to achieve a desired outcome. Algorithms are used in a wide range of applications, from search engines to robotics. Types of DSA There are many types of Data Structures and Algorithms (DSA) including arrays, linked lists, stacks, queues, trees, graphs, hash tables, and sorting and searching algorithms. Each DSA has its own strengths and weaknesses and is suitable for different types of data processing and storage needs. Applications of DS Data Structures have a wide range of applications in computer science, including database management, algorithm design and analysis, operating systems, artificial intelligence, machine learning, and web development. They are used to store, organise, and manipulate large amounts of data efficiently and effectively, enabling faster and more accurate processing of information. What is data science? Data Science is an interdisciplinary field that involves the use of statistical, computational, and machine-learning techniques to extract insights and knowledge from large and complex data sets. It encompasses various stages of data analysis, including data collection, cleaning, processing, modelling, and visualisation. What are coding fundamentals? Coding fundamentals refer to the basic principles and concepts that are essential to understanding and writing computer programs. These include topics such as data types, variables, control structures, functions, algorithms, and data structures. A solid understanding of coding fundamentals is crucial for building more complex programs and solving programming challenges. Did you take the Hunger test? Click here: https://bit.ly/3oCE7w6 ______________________________________________________________________________ About SCALER: A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact. Learn more about Scaler: https://bit.ly/3oCE7w6 📌 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 #queues #datastructures #dsa #softwareengineering #scaler

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