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Algorithms and Data Structures Full Course | Master Data Structures from Scratch | DSA @SCALER
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Data Structures and Algorithms (DSA): Stacks & Queues | Linked Lists | Sorting | Arrays - Algorithms and Data Structures Full Course | Master Data Structures from Scratch | DSA @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

This is the complete course for Data Structures and Algorithm by Prateek Narang (Software Engineer & Instructor at Scaler). You can master Data Structures from scratch. Check out our free masterclasses by industry-leading experts here: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_algorithms-and-data-stuctures-complete-course-by-prateek-narang&utm_content=YTDescription Data structures and algorithms are foundational concepts in computer science, essential for solving complex problems efficiently. Data structures refer to the organization, management, and storage format of data in a computer's memory. They provide a systematic way to store and retrieve data, enabling efficient operations such as searching, sorting, insertion, and deletion. Common data structures include arrays, linked lists, stacks, queues, trees, and graphs, each with unique characteristics suited to specific tasks. Algorithms, on the other hand, are step-by-step procedures or instructions for solving problems. They operate on data stored in various data structures, performing computations or manipulations to produce desired outcomes. Efficient algorithms are crucial for optimizing performance and resource utilization, making them integral to software development, computer graphics, artificial intelligence, and many other fields. Understanding data structures and algorithms is essential for programmers to design efficient and scalable solutions. By selecting appropriate data structures and implementing efficient algorithms, developers can optimize program performance, reduce memory usage, and enhance code maintainability. Proficiency in these concepts empowers programmers to tackle diverse computational problems, ranging from simple data processing tasks to complex optimization challenges. Moreover, familiarity with data structures and algorithms fosters analytical thinking and problem-solving skills, enabling developers to devise innovative solutions and overcome computational hurdles effectively. Whether designing algorithms for search engines, developing video games, or optimizing supply chain logistics, proficiency in data structures and algorithms equips individuals with the fundamental tools to navigate the complexities of modern computing. 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. 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. Who are data professionals? Data professionals are individuals who work with data to extract insights and knowledge that drive business value. This includes roles such as data analysts, data engineers, database administrators, business intelligence analysts, and data architects. They use various tools and techniques to collect, clean, analyse, and interpret data to help organisations make informed decisions and achieve their goals. Topics Covered 00:00:00- Introduction 00:37:28- Java Collections Framework 01:41:5- Priority Queue 01:46:23- What is a Set? 03:11:08- Array List Features 03:32:09- Linked List 04:36:37- Creating a Doubly Linked list 05:14:04- Circular Array 08:02:25- Hashtable 08:39:45- Rehashing 09:54:35- BFS #scaler #datastructures #datascience #softwareengineering _____________________________________________________________________________ About SCALER: A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact. Learn more about Scaler: https://bit.ly/3IFG5SW 📌 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

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