Data Structures and Algorithms In C# ( DSA )

Data Structures and Algorithms in C# Using DSA C# and DSA in C# Data Structures Algorithms DSA with C# DSA in C# DSA C#
4.05 (1057 reviews)
Udemy
platform
English
language
Software Engineering
category
Data Structures and Algorithms In C# ( DSA )
5 406
students
10.5 hours
content
Jun 2025
last update
$29.99
regular price

Why take this course?

🚀 Master Data Structures and Algorithms in C# with Expert Guidance! 🌟


About the Instructor:

  • Deepali Srivastav: Author of the popular books "C In Depth" and "Data Structures Through C In Depth". With over 250,000+ students & professionals helped, Deepali's expertise will be your compass in mastering DSA in C#.

What You Will Learn:

🌍 Course Overview: This course is a comprehensive journey through the world of Data Structures and Algorithms (DSA) using C#, featuring detailed lectures with animations that bring complex concepts to life. Each topic ends with a quiz to reinforce your knowledge.

🧠 Understanding DSA: Develop a strong foundation in DSA by exploring key data structures such as linked lists, stacks, queues, binary search trees, heaps, and more. Learn about various algorithms, including sorting, searching, recursion, and hashing, with complete working programs for each concept.

🛠️ Algorithm Analysis: Dive deep into Big O notation to understand algorithm efficiency and complexity. Gain insights into how to analyze time complexity and prepare for coding interviews.

🔗 Linked Lists: From singly linked lists, reversing a linked list, doubly linked lists, circular linked lists, linked list concatenation, and sorted linked lists.

🎨 Stacks & Queues: Master the use of stacks and queues with practical examples and understand their applications in real-world scenarios.

➖🔥 Binary Trees & Sorting: Learn about binary trees, binary search trees, tree traversals, heap structures, and various sorting algorithms like selection, bubble, insertion, shell, merge (recursive and iterative), quicksort, heapsort, radix sort, and more.

🔍 Searching & Hashing: Understand the intricacies of searching techniques and hashing to improve data retrieval operations.


Course Content Breakdown:

  • Algorithm Analysis
  • Linked List
    • Singly linked list
    • Reversing a linked list
    • Doubly linked list
    • Circular linked list
    • Linked list concatenation
    • Sorted linked list
  • Stack and Queue
  • Recursion
  • Binary Tree
  • Binary Search Tree
  • Heap
  • Sorting
  • Searching
  • Hashing

Why Choose This Course?

Practical Examples: Learn through clear and simple C# code examples.

🧠 Visual Aids: Benefit from diagrams and pictures that help you picture complex concepts.

🎓 Interactive Learning: Engage with quizzes to test your knowledge at every step.

🚀 Real-World Application: Apply what you learn to refactor applications, improve performance, and tackle interview questions effectively.


Student Testimonials:

💬 "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 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!"

📚 "Very informative and the visual style helped picture it better."

🔥 "Great tutorial - the author is doing an exceptional job at explaining the concepts behind algorithms and data structures."


Don't Miss Out!

🎯 Who Should Take This Course: Aspiring or intermediate programmers who want to solidify their understanding of Data Structures and Algorithms in C#.

🎉 What You Will Gain: Confidence, skills, and knowledge to tackle real-world programming challenges with ease.

🚀 Take the Next Step: Click on the "Buy" button now to enroll and start your learning journey with us!


Enhance your coding career and conquer Data Structures and Algorithms in C# today! 🌟 Join thousands of learners and become a proficient coder with our expert-led course. Click "Buy" to embark on this transformative learning adventure now!

Course Gallery

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325566
udemy ID
23/10/2014
course created date
11/07/2019
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