Data Structures Full Course in Java for Beginners 2023 | DSA Tutorial | Array | HashMap | @SCALER
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Want to get started with Data Structures and Algorithms? This detailed full course on Data Structures in Java by Prateek Narang, Software Engineer & Instructor at Scaler will help you become well-versed with all the concepts involved in learning data structures and algorithms. Check out out FREE masterclasses by leading industry experts now: https://www.scaler.com/events?utm_sou...
What is a 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.
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.
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 computer science?
Computer science is the study of computers and computational systems. It encompasses the design, development, and analysis of algorithms, programming languages, software, and hardware. Computer scientists solve complex problems, create new technologies, and drive innovation in fields such as artificial intelligence, cybersecurity, and robotics.
Topics covered:
0:00 - Introduction
0:58 - What are Data Structures?
1:49 - Types of Data Structures
2:41 - Real World Data Structure Example #1: Grocery Store
3:08 - Real World Example #2 : Tickets Queue (Queue Data Structure)
3:33 - Real World Example #3 : Restaurant Menu (Key-Value Pair)
3:46 - Real World Example #4 : Finding Photos (Tree Data Structure)
4:40 - Why do you need Data Structures?
5:21 - What are Algorithms?
6:45 - Array
17:25 - Array Code Demo in Java
37:19 - Java Collections Framework
38:51 - Interfaces and Classes Code Demo
44:13 - Components of Collection Framework
47:42 - What is a Collection Framework?
52:12 - ArrayList
1:01:08 - ArrayList Code Demo in Java
1:10:32 - Linked List
1:15:50 - Linked List Code Demo in Java
1:24:20 - Stack
1:26:32 - Stack Code Demo in Java
1:28:49 - Queue
1:33:07 - Queue Code Demo in Java
1:34:50 - Deque
1:39:19 - Deque Code Demo in Java
1:41:44 - Priority Queue
1:43:38 - Priority Queue Code Demo in Java
1:46:23 - Set
1:49:34 - Set Code Demo in Java
2:00:19 - Map (HashMap, TreeMap, LinkedHashMap)
2:03:55 - Map Code Demo in Java
Take the hunger test here: http://bit.ly/3zEzHXB
______________________________________________________________________________
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#datastructures #datastructure #dsa #array #stack #queue #linkedlist #hashmap #scaler
What is a 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.
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.
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 computer science?
Computer science is the study of computers and computational systems. It encompasses the design, development, and analysis of algorithms, programming languages, software, and hardware. Computer scientists solve complex problems, create new technologies, and drive innovation in fields such as artificial intelligence, cybersecurity, and robotics.
Topics covered:
0:00 - Introduction
0:58 - What are Data Structures?
1:49 - Types of Data Structures
2:41 - Real World Data Structure Example #1: Grocery Store
3:08 - Real World Example #2 : Tickets Queue (Queue Data Structure)
3:33 - Real World Example #3 : Restaurant Menu (Key-Value Pair)
3:46 - Real World Example #4 : Finding Photos (Tree Data Structure)
4:40 - Why do you need Data Structures?
5:21 - What are Algorithms?
6:45 - Array
17:25 - Array Code Demo in Java
37:19 - Java Collections Framework
38:51 - Interfaces and Classes Code Demo
44:13 - Components of Collection Framework
47:42 - What is a Collection Framework?
52:12 - ArrayList
1:01:08 - ArrayList Code Demo in Java
1:10:32 - Linked List
1:15:50 - Linked List Code Demo in Java
1:24:20 - Stack
1:26:32 - Stack Code Demo in Java
1:28:49 - Queue
1:33:07 - Queue Code Demo in Java
1:34:50 - Deque
1:39:19 - Deque Code Demo in Java
1:41:44 - Priority Queue
1:43:38 - Priority Queue Code Demo in Java
1:46:23 - Set
1:49:34 - Set Code Demo in Java
2:00:19 - Map (HashMap, TreeMap, LinkedHashMap)
2:03:55 - Map Code Demo in Java
Take the hunger test here: http://bit.ly/3zEzHXB
______________________________________________________________________________
About SCALER:
A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact.
Learn more about Scaler: http://bit.ly/3zEzHXB
📌 Follow us on Social and be a part of an amazing tech community📌
👉 Meet like-minded coder folks on Discord - Discord: discord
👉 Tweets you cannot afford to miss out on - Twitter: scaler_official
👉 Check out student success stories, expert opinions, and live classes on Linkedin - LinkedIn: scalerofficial
👉 Explore value-packed reels, carousels and get access to exclusive updates on Instagram - Instagram: 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_co...
#datastructures #datastructure #dsa #array #stack #queue #linkedlist #hashmap #scaler
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