Name: Master Important Data Structures and Algorithms in Java.
Rating: 4.0 (47 reviews)

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Created byManoranjan Kumar

Last updated 3/2019

English

What you'll learn

Master Arrays, Linked List, Stack, Queues, Priority Queue, Set, Map, Hashtable, Tree, Heaps, Graphs.
Master Sorting Algorithms, Searching Algorithms & Graph Algorithms.
Ace Coding Interviews.
Understand how a data structure works internally.
Develop a clear understanding of when to use which data structures and algorithms.
Understand Time and Space complexity of using a particular Data Structure or algorithm.
Implement any coding exercise confidently.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

14 sections • 126 lectures • 14h 44m total length

Course Overview7:44
Course Introduction.

What is a Data Structure & Why it is so important?3:43
Understand about data structure and it's importance with example.
Classification of Data Structures & Abstract Data Types (ADT)1:35
Lets explore about linear data structures and non-linear data structures, along with abstract data types.
Time Complexity and Big-O notation.5:55
Understand the concepts of Time complexity and Space Complexity and learn the rules to calculate time complexity for worst case scenario.
Quiz - Data Structures Basics.

Array - Properties, Uses & Internal Implementation.5:39
Array, one of the most fundamental data structures used to store fixed number of values of same data types.
Array Declaration & Operations17:51
Declare an array in java and implement several array operations.
Array Code Challenge 1 and Solution.14:41
Write code to find continuous sub-array whose sum is equal to a given number.
Array Code Challenge 2 and Solution.4:49
Write code to reverse an array without using an additional array.
Dynamic Array1:35
Explore dynamic array and internal working.
Quiz - Array

List2:34
Introduction to List Data Structure.
ArrayList4:52
Let's understand about an ArrayList, its properties and internal working.
Major ArrayList Operations10:30
Implementations of major operations of an ArrayList.
ArrayList Code Challenge 1 & Solution.5:27
Write a program to synchronize an ArrayList.
ArrayList Code Challenge 2 & Solution.6:11
Write a program to remove duplicates from an ArrayList.
LinkedList5:06
Introduction to LinkedList definition, properties and uses.
LinkedList - Internal Working2:02
LinkedList Operations13:22
LinkedList Code Challenge 1 & Solution9:09
Write a program to insert a node at the middle position of a linked list.
LinkedList Code Challenge 2 & Solution8:22
Write a program to delete the middle node of a LinkedList.
LinkedList Code Challenge 3 & Solution8:16
Write a program to detect loop in a LinkedList.
Doubly LinkedList4:57
Doubly Linked List introduction, properties and internal implementation.
Doubly LinkedList Code Challenge & Solution10:29
Write a program to reverse a doubly linked list.
Circular LinkedList3:46
Introduction to circular linked list, its properties, uses and internal implementation.
Circular LinkedList Code Challenge & Solution.6:45
Write a program to convert a singly linked list into a circular linked list.
Vector4:25
Introduction to vector data structure, its properties, uses and internal implementation.
Vector Operations10:25
Vector Code Challenge 1 & Solution6:02
Write a program to find the K-th smallest divisor of a natural number N.
Vector Code Challenge 2 & Solution10:51
Write a program to find four factors of a given integer N with maximum product and sum equal to N.
Stack3:22
Stack Implementation Using ArrayList7:53
Implement a Stack using an ArrayList.
Stack Implementation Using LinkedList5:36
Implement a Stack using a LinkedList.
Stack Operations10:27
Stack Code Challenge 1 & Solution11:12
Write a program to convert an infix expression to a postfix expression using stack.
Stack Code Challenge 2 & Solution10:10
Write a program to implement two stacks using only one Array.
Quiz - Lists

Queue3:19
Introduction to queue, its properties and uses.
Internal Implementation of Queue1:33
Queue Code Challenge 1 & Solution6:57
Write a program to implement a Queue using Linked List.
Queue Code Challenge 2 & Solution9:09
Write a program to implement a Queue using Stack data structures.
Priority Queue5:18
Introduction to Priority Queue, its properties, declaration in java and its uses.
Internal Implementation of Priority Queue3:45
Priority Queue Operations7:14
Priority Queue Code Challenge & Solution8:25
Write a program to implement a Priority Queue using a Linked List.
Quiz - Queues

Set2:09
Introduction to Set data structure.
Hash Set3:50
Internal Implementation of HashSet2:59
HashSet Operations10:09
HashSet Code Challenge 1 & Solution4:34
HashSet Code Challenge 2 & Solution3:12
Linked Hash Set4:18
Internal Implementation of Linked HashSet4:00
Linked HashSet Operations8:04
Linked HashSet Code Challenge 1 & Solution5:53
TreeSet4:22
Internal Implementation of TreeSet2:41
TreeSet Operations17:02
TreeSet Code Challenge 1 & Solution.3:50
Quiz - Set

Map3:37
Hash Map4:07
Internal Implementation of HashMap6:33
HashMap Important Methods12:41
HashMap Code Challenge 1 & Solution5:02
HashMap Code Challenge 2 & Solution3:41
Linked Hash Map9:25
LinkedHashMap Important Methods13:10
LinkedHashMap Code Challenge 1 & Solution7:54
LinkedHashMap Code Challenge 2 & Solution8:28
TreeMap4:01
Internal Implementation of TreeMap5:02
TreeMap CRUD Methods10:26
TreeMap Advanced Methods11:35
TreeMap Code Challenge 1 & Solution3:02
TreeMap Code Challenge 2 & Solution8:13
Hashtable5:23
Hashtable Methods6:47
Hashtable Code Challenge 1 & Solution5:21

Requirements

Basic knowledge of Java like OOPS concepts, if-else statement etc.
Basic knowledge of using any IDE like Eclipse, NetBeans, IntelliJ etc.

Description

Data Structures and Algorithms are the most important and fundamental building blocks of computer science and any coding interviews. A good knowledge of data structures & algorithms is a must for designing and developing an efficient software application. This course will covers all the practical data structures of Java Collections Framework along with several important algorithms that we often use for application development and explore in depth about its working, properties and practical significance in creating efficient and reliable software applications. Here, we will explore and analyse about various data structures and algorithms like Arrays, Linked List, Stack, Queue, Priority Queue, Set, Map, Hashtable, Tree, Binary Search Tree, Heaps, Graphs, Graph Algorithms, Search Algorithms, Sort Algorithms and many more.

The objective of this course is to enable students to:

Develop deeper understanding of Data Structures and Algorithms.
Master Arrays, Linked List, Stack, Queue, Priority Queue, Set, Map, Hashtable, Tree, Heaps, Graphs.
Master Sorting Algorithms, Searching Algorithms, Graph Algorithms.
Ace Coding Interviews.
Understand how a data structure works internally.
Develop an understanding of when to use which data structure and algorithm.
Understand Space and Time complexity of using a particular Data Structure or algorithm.
Implement any coding exercise confidently.

This course is designed, keeping simplicity as a priority so that even beginners will find it easy to understand and practice simultaneously. The coding language, I have used here is Java, however one can practice in any language as the concepts behind data structures and algorithms remains the same across various programming languages. So go ahead and enroll now. I will see you in the next lesson.

What Students say about this course ?
Good content and easy to understand the Data Structure concepts. The well explained coding examples and questions asked in quiz are helpful for interview preparation. - Keerti Joshi

Helped me to understand about data structures even more clearly, especially the internal implementations of each data structures. - Anuradha Singh

Who this course is for:

One who wants to understand the Data Structures at a deeper level.
Students who want to crack Data Structure interviews of product companies.

What you'll learn

Explore related topics

Coding Exercises

Course content

Getting Started.1 lecture • 8min

Basics of Data Structures3 lectures • 11min

Arrays5 lectures • 45min

Important List Data Structures25 lectures • 3hr 2min

Queue & Priority Queue8 lectures • 46min

Important Set Data Structures14 lectures • 1hr 17min

Most Used Map Data Structures19 lectures • 2hr 14min

Popular Tree Data Structures11 lectures • 1hr 23min

Heaps4 lectures • 27min

Graphs5 lectures • 39min

Requirements

Description

Who this course is for: