Data Structures and Algorithms In C# ( DSA )
Data Structures and Algorithms In C# ( DSA ), available at $69.99, has an average rating of 4.2, with 152 lectures, 12 quizzes, based on 1045 reviews, and has 5317 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 C# 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 C# ( DSA )
Summary
Title: Data Structures and Algorithms In C# ( DSA )
Price: $69.99
Average Rating: 4.2
Number of Lectures: 152
Number of Quizzes: 12
Number of Published Lectures: 149
Number of Published Quizzes: 12
Number of Curriculum Items: 164
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 C#
- 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 C#” 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 C#” 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 using C# 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 in C# course covers following topics with C# 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 with C# 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 C# 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 C# coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in C# interview topics helps you to attempt tricky interview questions.
In this Data Structures and Algorithms Through C# In Depth course, C# programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, Java or Python.
This Learn Data Structures and Algorithms In C# online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In C# books / pdf and also to students learning from referred book / pdf.
What students are saying about this course-
“Very knowledgeable tutor. So much better than reading a book. It is really helpful for coding assessment.”
“Clear and concise explanation of basic to advanced data structures. I was able to utilize this knowledge in refactoring my application to perform faster. Lot of concepts were covered in this course which helps in tackling interview questions.”
“This course is good and really demonstrates what should the developers know before the technical interview with top companies such as Amazon , Google , Microsoft “
“I really like this course and am learning a lot, even though I studied Data Structures during my college days no one explained like this way. Very detail oriented and simply superb! Keep up the great work!”
“This course is extraordinary i recommend for all data structure and algorithm beginner who study any programming language “
“This is an excellent course – very similar to the Intro to Data Structures and Algorithms course I took in college. The diagrams and pictures are very helpful. The examples are all written out in clear and simple C# code. If your goal is to be able to whiteboard coding algorithms this course is a good place to start.”
“Yes its really helpful to understand Algorithms and Data structures being a programmer me.”
“short and precise introduction, author is convincing as efficient instructor”
“Very informative and the visual style helped picture it better.”
“Nice explanation of Trees and Binary Tree”
“Very clear and concise explanations and examples. I learned a lot of data structures.”
“the explanation is clear and easily understandable”
“Concepts explained neatly !!”
“The lectures are clear and precise.”
“Great tutorial”
“The author is doing a superb job so far at explaining the concepts behind algorithms and data structures.”
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 C# 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 C#
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 Arithmetic 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 Algorithm
Lecture 10: Fibonacci Series
Lecture 11: Tower of Hanoi
Lecture 12: Tail recursion
Lecture 13: Recursion vs. Iteration
Chapter 5: Binary Tree
Lecture 1: Introduction 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 C#
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: 63 votes
- 2 stars: 63 votes
- 3 stars: 165 votes
- 4 stars: 355 votes
- 5 stars: 398 votes
Frequently Asked Questions
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