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Data Structures and Algorithms: In Depth DSA using C# (Udemy.com)

Learn C# Data Structures, Algorithms (DSA) with Animated Examples, includes Dynamic Programming, Backtracking etc...

Created by: Syed Mohiuddin

Last updated November 2025

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What you will learn

  • Understand Complexity of Algorithms ie Time and Space they take at runtime
  • Learn and compare Algorithms used in Searching and Sorting
  • Learn different Data Structures and how to use them in applications
  • Learn how to Code and Implement various data structures and algorithms in C#

How it compares

Against the other 194 rated Udemy courses in C# on CourseDuck:

  • Rating4.5 out of 5higher than 58% of them
  • Reviews2,635#25 of 195 by number of reviews
  • Length46.5 hourslonger than 98% of them
  • Last updatedNovember 2025more recently than 75% of them

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Course Description

This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in C#. This course consists of Videos which covers the theory concepts + implementation in C#.


There’s tons of concepts and content in this course:

  • Basics of data structures & Algorithms

  • Analysis of Algorithms (Big O, Time and Space complexity)

  • Recursion & Analysis of Recursive Algorithms

  • Searching Algorithms

  • Sorting Algorithms

  • Linked List

  • Stacks

  • Queues

  • Binary Trees

  • Binary Search Trees

  • Balanced Binary Search Trees

  • Priority Queues and Heaps

  • Hashing

  • Graphs

  • Graph Traversal Algorithms

Followed by Advanced Topics of Algorithms:

  • Sets and Disjoint Sets

  • Divide and Conquer Approach - Introduction

  • Divide and Conquer - Binary Search

  • Divide and Conquer - Finding Maximum and Mininum

  • Divide and Conquer - Merge Sort

  • Divide and Conquer - Quick Sort

  • Divide and Conquer - Selection Algorithm

  • Divide and Conquer - Strassens Matrix Multiplication

  • Divide and Conquer - Closest Pair

  • Divide and Conquer - Convex Hull

  • Greedy Method - Introduction

  • Greedy Method - Knapsack Problem

  • Greedy Method - Job Sequencing with Deadlines

  • Greedy Method - Mininum Cost Spanning Tree (Prim's & Kruskal's Algorithms)

  • Greedy Method - Optimal Storage on Trees

  • Greedy Method - Optimal Merge Pattern

  • Greedy Method - Single Source Shortest Path (Dijkstra's Algorithm)

  • Dynamic Programming - Introduction

  • Dynamic Programming - Multistage Graphs

  • Dynamic Programming - All Pairs Shortest Path

  • Dynamic Programming - Single Source Shortest Path

  • Dynamic Programming - Optimal Binary Search Trees

  • Dynamic Programming - 0/1 Knapsack Problem

  • Dynamic Programming - Reliability Design

  • Dynamic Programming - Travelling Salespersons Problem

  • Backtracking - Introduction

  • Backtracking - n-Queesn Problem

  • Backtracking - Sum of Subsets Problem

  • Backtracking - Graph Coloring Problem

  • Backtracking - Hamiltonian Cycles Problem

  • Backtracking - 0/1 Knapsack Problem

  • Branch & Bound - Introduction

  • Branch & Bound - n-Queens Problem

  • Branch & Bound - Job Sequencing Problem

  • Branch & Bound - 0/1 Knapsack Problem


Again, each of these sections includes detailed videos tutorial.


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Instructor Details

Syed Mohiuddin

Welcome, I am a professional instructor dedicated to bridging the gap between complex programming theory and practical, real-world application. With over 50,000 students and a focus on high-quality, visual learning, I help programmers, engineers, and data analysts master the most in-demand skills in the industry.

My expertise spans Data Structures and Algorithms (DSA), Machine Learning, and Data Science, with a specialized focus on Python and R. My flagship courses are known for their animated examples and step-by-step breakdowns, making even the most difficult topics—like Dynamic Programming and Backtracking—accessible to everyone from beginners to advanced professionals.

Whether you are preparing for a coding interview or looking to build advanced data models, my goal is to provide you with the mental frameworks and technical skills needed to excel in your career.

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Reviews

4.5

2,635 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Biraj Dahal on 5/14/2026

Before enrolling I thought the course length was too long. But after enroll I found it he is saying slowly so that every detail , every point is understood properly, Experience Developer can understand the content in 1.5x speed. Every Detail covered so far is so clear. One of the best till now.

By Taruchu McCullough on 3/26/2026

Thank you again Syed!!! This course is sooo detailed and I love the animations you created!!!

By Rikudou En Sof on 2/9/2026

Very direct. I, however, find myself going to YouTube to learn more in-depth about a topic if necessary. Maybe because i am always tired

By Vincent Tom Okeyo Otieno on 1/27/2024

It is difficult not to understand the instructor's explanation of the concepts. However, quizzes in-between the lectures would be very helpful to the learners!

By Jovan Aleksic on 12/1/2023

The lecturer goes in-depth into the subject matter, explains the logic clearly and gives numerous examples. I liked that we could go through the pseudocode and try to implement the functionality before the lab where the lecturer goes over his own code. Overall, a great course if you want to understand more about Data Structures and Algorithms.

By Denys H on 7/3/2023

Ok for beginners but contains some errors, C# isn't the main language of author. Easy topics explained in details but some hard topics were not explained at all and I was required to google it

By Christoph Gräbner on 7/18/2022

Der Kurs wirkt einerseits sehr trocken durch viel, viel Erklärung, aber genau das macht diesen Kurs andererseits so reizvoll. Es ist grandios einmal die genauen Hintergründe von Algorithmen kennen zu lernen, die man sonst nicht wirklich kennen lernt. Dabei ist alles sehr anschaulich und ausführlich erklärt. Das einzige was hier und dort besser sein könnte, wären konkrete Beispiele wieso bzw. wann man dies oder das verwenden sollte/könnte.

By Anonymized User on 4/28/2022

From my side, This is a perfect class for analyzing clearly, more essential information, and easy to follow.

By Tyler Vaught on 3/18/2022

First half of the course is great however about half through the course instructor decided not to give any examples of c# code i.e how to search a BST.

By Vince Vencer on 6/19/2021

The course was a good introductory for Data Structures and Algorithms. The concepts were clear and explained sufficiently. The theoretical aspects of every DSA was well presented and easy to understand.

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Overall Score : 90 / 100