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Data Structures and Algorithms Training with C#

Live Online Course

  4.7/5 Ratings     4.7/5Ratings

30 Sessions

  Live Classes

4 Videos

Video Course

Data Structures and Algorithms with C# Course Overview

The Data Structures and Algorithms with C# Course is intended for individuals with an interest in software engineering who wish to advance their careers by landing an interview with one of the most prestigious firms in the world. So that you are ready for these important interviews, this program will teach you everything from problem-solving techniques to coding. Get hands-on practice by solving 100+ data structures and algorithms problems. You will begin the course by learning to solve problems related to each data structure and algorithm. Prepare for the top product-based companies like MetaMicrosoftAmazonAdobeNetflix and Google.

DSA Course objectives

Participants in this training will learn data structures and algorithms and at the completion of this course, attendees will be able to:

  1. Identify techniques to design algorithms and measure their efficiency.
  2. Sort data by using bubble sortselection sortinsertion sortshell sortquick sort, and merge sort.
  3. Search data by using linear search and binary search techniques.
  4. Store and search data using hashing.
  5. Solve problems using arrays, lists, linked listsqueues, and stacks.
  6. Solve problems using non-leaner data structures like trees, and graphs.

Outcomes of the Training

  1. Knowledge of implementing backtracking and dynamic programming
  2. Understanding of hash function applications
  3. Potential Career Boost in the Technical World
  4. Gain a competitive edge over other candidates
  5. Personalized Career Coaching and Goal Setting
  6. Guaranteed salary hike of 40-60%

Why Learn Data Structures and Algorithms in 2024?

DSA is a fundamental skill for careers in software development, data science, Machine learning, and many more. These stats back the statement.

  1. Strong Foundation for Programming: DSA is the bedrock of computer science. Understanding how data is organized (data structures) and manipulated (algorithms) empowers you to solve problems efficiently.
  2. Problem-Solving Prowess: Learning DSA equips you with a systematic approach to problem-solving.
  3. Benefits Across Programming Domains: Whether you're developing web applications, mobile apps, machine learning models, or data analysis tools, a strong understanding of DSA is beneficial.
  4. Interview Preparation: Many tech companies, including top-tier tech giants, continue to prioritize data structures and algorithms in their technical interviews.
  5. Career Advancement: Proficiency in DSA is highly valued in the tech industry and can lead to career advancement opportunities in software engineering, data science, system architecture, technical leadership, and more.
  6. Adaptability in a Changing Landscape: The programming landscape constantly evolves, but the core principles of DSA remain relevant allowing you to adapt and learn new programming languages more easily.

Why Learn Data Structures and Algorithms?

Data Structures and Algorithms Career Scope

DSA skilled is employed by the world's leading product based companies. Discover the salary and skills to become SDE.

  1. Software Engineering: As a software engineer, proficiency in DSA is crucial for designing efficient algorithms, implementing scalable data structures, and optimizing code for performance and memory usage.
  2. Data Science and Analytics: Data scientists and analysts use algorithms and data structures to perform tasks such as data cleaning, feature extraction, statistical analysis, machine learning, and predictive modeling.
  3. Machine Learning and Artificial Intelligence: DSA skills are fundamental for building machine learning models and artificial intelligence systems.
  4. System Design and Architecture: System architects and engineers use algorithms and data structures to optimize system performance, manage resources efficiently, and ensure fault tolerance and high availability.
  5. Competitive Programming: Proficiency in DSA is essential for competitive programmers to solve problems efficiently and achieve optimal solutions within the given constraints.

Data Structures and Algorithms Career Scope

DSA Tools and Technologies Covered

Logic Building
Logic Building
Code Debugging
Code Debugging
Complexity Analysis
Complexity Analysis
Linked List
Linked List

Data Structures and Algorithms with C# Course Key Features

  • 3 Months of Intensive Live Training
  • Learn from SDEs in Product Based Companies
  • Learn to implement DSA
  • Career Coaching
  • Resume & Portfolio Building
  • Job Assistance

Data Structures and Algorithms Course Eligibility


Prerequisites for enrolling in the Data Structures and Algorithms (DSA) with C# course include a solid understanding of C# and a background in computer science.

Who can Join the DSA Course?

Students in college, recent graduates, and working professionals who are preparing for SDE interviews with prestigious organizations like Microsoft, Amazon, Adobe, and other top product-based corporations should learn data structures and algorithms courses.

Live Classes Schedule

Our learn-by-building-project method enables you to build practical/coding experience that sticks. 95% of our learners say they have confidence and remember more when they learn by building real world projects.
Data Structures and Algorithms Training with C# Jul 28 SAT, SUN
Filling Fast
08:30PM to 10:30PM (IST)

Can't find convenient schedule? Let us know

Included in this Data Structures and Algorithms Training with C#

  •   Live Sessions30 Classes
  •   Video Course 4 Videos
DSA Foundation

Data Structures

  • Introduction to Data Structure
  • Types of Data Structure
  • Abstract Data Type

Complexity Analysis

  • Complexity Analysis
  • Time complexity
  • Space complexity
  • Big O Notation
  • Iteration
  • Recursion
  • Exercises and Summary

Arrays and Strings

  • Arrays
  • Arrays Types
  • Strings
  • Iterations
  • Exercises and Summary

Sorting Algorithms

  • Bubble Sort
  • Insertion Sort
  • Selection Sort
  • Quick Sort
  • Merge Sort
  • Heap Sort
  • Count Sort
  • Bucket Sort
  • Exercises and Summary

Searching Algorithms

  • Introduction
  • Linear Search and its Implementation
  • Binary Search and its Implementation
  • Ternary Search and its Implementation
  • Jump Search and its Implementation
  • Exponential Search and its Implementation
  • Exercises and Summary

String Algorithms

  • Introduction
  • Count Vowels
  • Reverse a String
  • Reverse Words
  • Rotations
  • Remove Duplicates
  • Most Repeated Char
  • Sentence Capitalization
  • Exercises and Summary


  • Linked List
  • Singly Linked List
  • Doubly Linked List
  • Circular Linked List
  • Exercises and Summary


  • Introduction
  • What are stacks
  • Working with Stacks
  • Building Stack using an Array
  • Exercises and Summary


  • What are queues
  • Working with Queues
  • Building Queues using an Array
  • Implementing Queues using a Stack
  • Priority Queues with different approaches
  • Exercises and Summary


  • What are Hash Tables
  • Working with Hash Tables
  • Hash Functions
  • Collision and Chaining
  • Building a Hash Table
  • Exercises and Summary
DSA Advanced

Binary Trees

  • What are Trees
  • Populating a Binary Tree
  • Building a Binary Tree
  • Traversing Trees
  • Working with Recursion
  • Depth First Traversals
  • Depth and Height of Nodes
  • Minimum values in a Tree
  • Level Order Traversal
  • Exercises and Summary

AVL Trees

  • Introduction
  • Balanced and Unbalanced Trees
  • Implementing Rotations
  • Building AVL Trees
  • Exercises and Summary


  • What are Heaps
  • Working with Heaps
  • Building and Implementation Heaps
  • Heap Sort and its Implementation
  • Implementing Priority Queues
  • Working with Heapify
  • Exercises and Summary


  • What are the Tries?
  • Populating a Trie?
  • Implementation Tries with Hash Table
  • Abstraction and Traversal
  • Exercises and Summary


  • What are Graphs
  • Adjacency Matrix and Adjacency List
  • Building Graphs
  • Adding Nodes and Edges
  • Removing Nodes and Edges
  • Traversal Algorithms
  • Depth-First Traversal
  • Breadth-First Traversal
  • Topological Sorting
  • Cycle Detection using Directed Graphs
  • Exercise and Summary

Undirected Graphs

  • Introduction
  • Weighted Graphs
  • Dijkstra’s Shortest Path Algorithm
  • Shortest Path Algorithm
  • Cycle Detection using Undirected Graphs
  • Minimum Spanning Tree
  • Prim’s Algorithm
  • Exercises and Summary

Greedy Algorithms

  • Greedy Algorithms
  • The strategies of Greedy Algorithms
  • Applications of Greedy Algorithms
  • Exercises and Summary

Divide and Conquer

  • Divide and Conquer Techniques
  • Master theorem Applications
  • Sliding Window problems
  • Merge Intervals problems
  • Exercises and Summary


  • Backtracking
  • Brute Force Approach
  • N Queens Problem
  • KMP
  • Exercises and Summary

Dynamic Programming

  • Dynamic Programming
  • Approaches of Dynamic Programming
  • Top-down approach
  • Bottom-up approach
  • Pattern matching algorithm
  • Exercises and Summary
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Frequently Asked Questions

Q1. Can I Attend a Demo Session before Enrolment?

Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.

Q2. Can I request for a support session if I need to better understand the topics?

Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at

Q3. Do you offer certificate of completion?

Yes. The certificate is valid and can be used for interviews. Additionally, the student can register for the .Net Certification exam after completion of this course.

Q4. Who are your mentors?

All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.

Q5. What If I miss my online training class?

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

Q6. Can I share my course with someone else?

In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

Q7. Do you provide any course material or live session videos?

Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.

Q8. Do you provide training on latest technology version?

Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.

Q9. Do you prepare me for the job interview?

Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

Q10. Will I get placement assistance after receiving my course completion certificate?

Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at

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