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Software Engineering & AlgorithmsUdemy2023-11 Edition100% Free Video Course

Data Structures and Algorithms In C# ( DSA )

Data Structures and Algorithms In C# (DSA) is a training course on Data Structures and Algorithms in C# (DSA) published by Udemy Online Academy. Data Structures and Algorithms in C# is a comprehensive study of the fundamental concepts that form the foundation of efficient programming and software development. Understanding data structures and algorithms is critical to writing optimized code that performs well under various conditions. It covers a wide range of topics, from basic data types to complex algorithms, all implemented in the C# programming language. Mastering these concepts allows developers to write optimized code that can perform complex tasks with high performance.Whether you are developing software, competing in programming, designing systems, or analyzing data, a thorough understanding of data structures and algorithms is essential. This Data Structures and Algorithms Using C# course provides a comprehensive explanation of data structures such as linked lists, stacks and queues, binary search trees, stacks, searches, and hashes. During this course you will understand the data structure and different algorithms. This course is recommended for career-seeking programmers, computer science students who have data structures as part of their curriculum, and non-computer science students who wish to enter the IT industry.

142 Video Lessons
11.7 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Data Structures and Algorithms In C# ( DSA )
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Course Features:
11.7 hours on-demand video
142 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Details of Data Structures and Algorithms (DSA)
Writing programs for data structures and different algorithms in C#
Analysis of algorithms
Ability to write and track recursive algorithms
And …

Course Curriculum142 Lectures

11 sections • 11.7 hours total length

Prefer offline learning? Download all 142 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Data Structures and Algorithms In C# (DSA) is a training course on Data Structures and Algorithms in C# (DSA) published by Udemy Online Academy. Data Structures and Algorithms in C# is a comprehensive study of the fundamental concepts that form the foundation of efficient programming and software development. Understanding data structures and algorithms is critical to writing optimized code that performs well under various conditions. It covers a wide range of topics, from basic data types to complex algorithms, all implemented in the C# programming language. Mastering these concepts allows developers to write optimized code that can perform complex tasks with high performance.Whether you are developing software, competing in programming, designing systems, or analyzing data, a thorough understanding of data structures and algorithms is essential. This Data Structures and Algorithms Using C# course provides a comprehensive explanation of data structures such as linked lists, stacks and queues, binary search trees, stacks, searches, and hashes. During this course you will understand the data structure and different algorithms. This course is recommended for career-seeking programmers, computer science students who have data structures as part of their curriculum, and non-computer science students who wish to enter the IT industry.

Instructor

S

Senior Industry Specialist

Specialist in Software Engineering & Algorithms

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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