Data Structures and Algorithms In Java ( DSA )
Data Structures and Algorithms In Java ( DSA ), available at $74.99, has an average rating of 3.85, with 151 lectures, 12 quizzes, based on 723 reviews, and has 3533 subscribers.
You will learn about Understand the details of Data Structures and algorithms (DSA) through animations Learn to write programs for different Data Structures and Algorithms in Java Get the confidence to face programming interviews Test your knowledge with over 100 Quiz questions Learn how to analyse algorithms Get the ability to write and trace recursive algorithms This course is ideal for individuals who are Programmers looking for jobs or Programmers wanting to write efficient code or Computer Science students having Data Structures as part of their curriculum or Non Computer science students wanting to enter IT industry It is particularly useful for Programmers looking for jobs or Programmers wanting to write efficient code or Computer Science students having Data Structures as part of their curriculum or Non Computer science students wanting to enter IT industry.
Enroll now: Data Structures and Algorithms In Java ( DSA )
Summary
Title: Data Structures and Algorithms In Java ( DSA )
Price: $74.99
Average Rating: 3.85
Number of Lectures: 151
Number of Quizzes: 12
Number of Published Lectures: 149
Number of Published Quizzes: 12
Number of Curriculum Items: 163
Number of Published Curriculum Objects: 161
Original Price: $129.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the details of Data Structures and algorithms (DSA) through animations
- Learn to write programs for different Data Structures and Algorithms in Java
- Get the confidence to face programming interviews
- Test your knowledge with over 100 Quiz questions
- Learn how to analyse algorithms
- Get the ability to write and trace recursive algorithms
Who Should Attend
- Programmers looking for jobs
- Programmers wanting to write efficient code
- Computer Science students having Data Structures as part of their curriculum
- Non Computer science students wanting to enter IT industry
Target Audiences
- Programmers looking for jobs
- Programmers wanting to write efficient code
- Computer Science students having Data Structures as part of their curriculum
- Non Computer science students wanting to enter IT industry
This “Data Structures and Algorithms In Java” course is thoroughly detailed and uses lots of animations to help you visualize the concepts.
Instructor is author of popular books “C In Depth” and “Data Structures Through C In Depth” helped 250,000+ students & professionals.
This “Data Structures and Algorithms in Java” tutorial will help you develop a strong background in Data Structures and Algorithms (DSA). The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.
This Data Structures and Algorithms in Java course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.
This Data Structures and algorithms in Java course covers following topics with Java implementation :
Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.
Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Recursion, Heap, Searching, Hashing
Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort
Here is the course content-
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Algorithm Analysis
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Linked List
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Stack and Queue
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Recursion
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Binary Tree
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Binary Search Tree
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Heap
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Sorting
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Searching
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Hashing
Throughout this Data Structures and Algorithms in Java course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see code implementation of different data structures in Java and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in Java coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in Java interview topics helps you to attempt tricky interview questions.
In this Data Structures and Algorithms Through Java In Depth course, Java language programs are used for implementing various concepts, but you can easily code them in any other language like C++, C#, or Python.
This Data Structures and Algorithms In Java online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms in Java book / pdf and also to students learning from referred book / pdf.
This DSA Self Paced course helps students to have great foundation to solve DSA In Java problems. This will help them to solve LeetCode problems and in google faang coding interviews.
What students are saying about this course
“It is one of the few courses on Udemy that deals with the actual implementation of the concepts of data structures in java. As of now I am completely satisfied with the course.”
“The presentation was, graphically, well organized. This resulted in a great visual illustration of concepts that seem so abstract. “
“Effective and lucid! This is in fact one of the most underrated courses on Udemy when it comes to Data Structures and Algorithms in Java. The pace is optimum and the explanation is to the point. And to the people who might have a problem with her accent – the delivery style of the instructor is just fine. “
“This is excellent course on Data structure with wide example range covering each topic “
“The course is great for someone who has zero knowledge of Data Structures And Algorithms.”
“The course was well explained and the pace of every lecture was ideal. I had a better understanding about the concepts and had a better understanding and preparation going into my final exam for Data Structures and algorithms. I also have bought the Advanced Data Structures course by Deepali as it has generated a genuine interest in me to learn about advanced concepts of algorithms.”
“The concepts are clear. I like the teaching style of the instructor. Concept -> Example -> Code implementation. “
“An excellent course on data structures. The concepts are explained so well that even a person like me with no computer science background has learnt so many new things. I regret that I did not learn data structures earlier in my career.”
“Explained with simple examples. Clarity was 100%”
“Excellent explanation. Very useful for Programming Interviews.”
“I enrolled in this course to supplement an Algorithm’s class I am taking online, but struggling in. As soon as I worked through the content of this course many of the concepts I was struggling to wrap my mind around made sense. I credit this it the step by step walk-through approach used by the instructor. For each algorithm, there is a dynamic diagram used to illustrate what is happening, and why it is happening. More over, as is required of a Data Struct and Algorithm discussion, the complexity of the algorithms is analyzed and explained in detail. Truly a worthwhile buy if you need a better understanding of the content.”
“Summary – a good interactive way to learn/refresh data structure. I took this course to help me to prepare for my Interview. There are mostly everything that is required for an interview. Example are pretty neat.The course is little fast paced, But you will get hang of it as you progress. Some of the examples are really great help in understanding the concept. Overall well I am happy with this.”
So what are you waiting for, click on Buybutton to enroll now and start learning.
Course Curriculum
Lecture 1: Introduction to Data Structures and Algorithms Through Java In Depth
Chapter 1: Introduction to Data Structures and Algorithms
Lecture 1: Important : Source Code Repository required for course
Lecture 2: Data Structures and Algorithms
Lecture 3: Measuring Running time of Algorithms
Lecture 4: Asymptotic Analysis
Lecture 5: Big O Notation
Lecture 6: Finding Big O
Lecture 7: Tight and Loose Upper Bounds
Lecture 8: Big O analysis of Algorithms
Lecture 9: Finding Time complexity
Lecture 10: Big O analysis of Algorithms: Examples
Lecture 11: Worst case, Best case and Average Case Analysis
Lecture 12: Common Complexities
Lecture 13: Abstract Data Types
Chapter 2: Linked List
Lecture 1: Introduction to Linked List in Java
Lecture 2: Traversing and Searching a Single Linked List
Lecture 3: Finding references in a single linked list
Lecture 4: Difference between while(p!=NULL) and while(p.link!=NULL)
Lecture 5: Insertion in a Single Linked List
Lecture 6: Insertion in a Single Linked List ..contd
Lecture 7: Deletion in a Single Linked List
Lecture 8: Your Review Matters!
Lecture 9: Reversing a Single Linked List
Lecture 10: Sorting a Linked list using Bubble Sort
Lecture 11: Merging of sorted Linked lists
Lecture 12: Sorting a Linked list using Merge Sort
Lecture 13: Finding and Removing a cycle in a Linked list
Lecture 14: Doubly linked list
Lecture 15: Insertion in a doubly linked List
Lecture 16: Deletion from doubly linked list
Lecture 17: Reversing a doubly linked list
Lecture 18: Circular linked list
Lecture 19: Insertion in a circular Linked List
Lecture 20: Deletion in a circular linked list
Lecture 21: Concatenation
Lecture 22: Linked List with Header Node
Lecture 23: Sorted linked list
Chapter 3: Stack and Queue
Lecture 1: Introduction
Lecture 2: Stack
Lecture 3: Array Implementation of Stack
Lecture 4: Linked List Implementation of Stack
Lecture 5: Queue
Lecture 6: Array Implementation of Queue
Lecture 7: Linked List implementation of Queue
Lecture 8: Queue through Circular Linked List
Lecture 9: Circular Queue
Lecture 10: Deque
Lecture 11: Priority Queue
Lecture 12: Checking validity of an expression containing nested parentheses
Lecture 13: Evaluating Arithmetc Expressions
Lecture 14: Polish Notations
Lecture 15: Converting infix expression to postfix expression
Lecture 16: Evaluation of postfix expression
Chapter 4: Recursion
Lecture 1: Introduction
Lecture 2: Flow of control in Recursive functions
Lecture 3: Winding and unwinding phase
Lecture 4: Factorial
Lecture 5: Printing numbers from 1 to n
Lecture 6: Sum of digits of an integer
Lecture 7: Base conversion
Lecture 8: Finding nth power of a number
Lecture 9: Euclids Algorithms
Lecture 10: Fibonacci Series
Lecture 11: Tower of Hanoi
Lecture 12: Tail recursion
Lecture 13: Recursion vs. Iteration
Chapter 5: Binary Tree
Lecture 1: Intoduction to trees
Lecture 2: Binary Tree
Lecture 3: Strictly Binary Tree and Extended Binary Tree
Lecture 4: Full binary tree and Complete Binary Tree
Lecture 5: Array Representation of Binary trees
Lecture 6: Linked Representation of Binary Trees
Lecture 7: Binary Tree in Java
Lecture 8: Traversal in Binary Tree
Lecture 9: Preorder Traversal
Lecture 10: Inorder Traversal
Lecture 11: Postorder Traversal
Lecture 12: Level order traversal
Lecture 13: Finding height of a Binary tree
Lecture 14: Constructing Binary tree from Traversals
Lecture 15: Constructing binary tree from inorder and preorder traversals
Lecture 16: Constructing binary tree from inorder and postorder traversals
Chapter 6: Binary Search Tree
Lecture 1: Introduction
Lecture 2: Traversal in Binary Search Tree
Lecture 3: Searching in a Binary Search Tree
Lecture 4: Nodes with Minimum and Maximum key
Instructors
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Deepali Srivastava
Author, Ultimate Python Programming
Rating Distribution
- 1 stars: 35 votes
- 2 stars: 21 votes
- 3 stars: 120 votes
- 4 stars: 232 votes
- 5 stars: 315 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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