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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

2 Notes

Quick Notes

1 Labs

Hands-on Labs

Data Structures and Algorithms with C# Course Overview

A Data Structures and Algorithms (DSA) with C# course typically offers core computer science principles using C# as the programming language. This course shows you how to successfully use data structures and algorithms in C#, focusing on both theory and implementation. You'll learn how to create efficient algorithms, optimize your code, and solve complicated problems with data structures.

This course is also designed for students who want to advance their careers by interviewing with one of the world's best-known organizations. This DSA With C# course will prepare you for these essential interviews by teaching you everything from problem-solving strategies to coding. Get hands-on experience by solving 100+ data structures and algorithm puzzles. You will begin the course by learning how to solve issues using each data structure and method. Prepare for the significant product-based corporations, including Meta, Microsoft, Amazon, Adobe, Netflix, and Google.

DSA In C# Course objectives

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

    Understand the fundamentals of data structures (arrays, lists, trees, and graphs) and algorithms (sorting, searching, and dynamic programming).

    1. Learn how to create different data structures from scratch in C#.
    2. Learn how to write efficient code with optimized space and time complexity.
    3. Ready for technical interviews and competitive coding challenges.
    4. Identify techniques to design algorithms and measure their efficiency.
    5. Sort data by using bubble sortselection sortinsertion sort, shell sort, quick sort, and merge sort.
    6. Search data by using linear search and binary search techniques.
    7. Store and search data using hashing.
    8. Solve problems using arrays, lists, linked listsqueues, and stacks.
    9. 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 C#?

    #1.) Efficient Problem Solving: Understanding data structures and algorithms DSA in C# allows you to build more optimized and efficient code, lowering execution time and memory usage.

    #2.) C# Versatility:  C# is commonly used in enterprise applications, gaming creation (Unity), and cross-platform programming. Learning DSA in C# will prepare you to develop solid and scalable solutions in these sectors.

    #3.) Career Advancement: Strong DSA skills are required for technical interviews with leading technology organizations. Knowing how to develop them in C# provides you with a competitive advantage in software engineering positions.

    #4.) Real-World Applications: C# includes built-in libraries and tools (such as System.Collections.Generic) that make it easier to create complicated data structures and handle real-world problems effectively.

    #5.) Object-Oriented Approach: C#'s object-oriented nature lends itself nicely to learning sophisticated data structures, making it easier to develop modular, reusable code.

    Why Learn Data Structures and Algorithms?

    Data Structures and Algorithms In C# Career Scope

    #1.) Software Development - Understanding data structures and algorithms (DSA) in C# is critical for backend, full-stack, and application developers, particularly those in sectors that use .NET for web and desktop apps.

    #2.) Game Development - Unity, one of the most popular game creation engines, uses C# as its primary programming language. Efficient DSA knowledge improves performance in game logic, artificial intelligence, and optimization challenges.

    #3.) Enterprise ApplicationsC# is widely used for developing enterprise-level software. Companies that use .NET for large-scale applications require DSA-capable developers to handle data efficiently and optimize performance.

    #4.) Cloud computing and microservicesC# is frequently used in cloud services (such as Microsoft Azure) and microservice architectures. DSA abilities help create scalable and dependable systems that handle massive amounts of data.

    #5.) Data-Driven Roles - C# is utilized in data analytics, such as Power BI. DSA knowledge guarantees that data engineers and business intelligence professionals can effectively handle and process massive datasets.

    Data Structures and Algorithms Career Scope

    DSA In C# Tools and Technologies Covered

    C#
    Logic Building
    Logic Building
    Code Debugging
    Code Debugging
    Arrays
    Arrays
    Big-O
    Big-O
    Complexity Analysis
    Complexity Analysis
    Linked List
    Linked List
    Stack
    Stack
    Queue
    Queue
    Tree
    Tree
    Graph
    Graph
    VS Code IDE
    VS Code IDE
    GitHub
    GitHub

    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

    DSA C# Course Eligibility

    Pre-requisites

    1. Basic knowledge of C# syntax and object-oriented programming.
    2. Familiarity with basic coding and problem-solving techniques.

    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.

    Included in this Data Structures and Algorithms Training with C#

    •   Live Sessions30 Classes
    •   Video Course 4 Videos
    •   Quick Notes 2 Notes
    •   Labs 1 labs
    •   Skill Tests 0 Tests
    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

    Lists

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

    Stacks

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

    Queues

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

    Hash

    • 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

    Heaps

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

    Tries

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

    Graphs

    • 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

    • 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
    Quick Notes Notes (2)

    Data Structures & Algorithms

    00:05:00

    Big O in Data Structure

    00:06:00

    Hands-On Labs Labs(1)

    Java: Big-O-Binary Search Algorithm

    00:15:00

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    DSA With C# - Certification

    Is there a certification provided after completing the DSA with C# course?

    How valuable is a DSA certification with C# for job interviews?

    How does the DSA C# certification compare to other language-specific DSA certifications?

    Is the DSA certification in C# globally recognized?

    Do I need to pass an exam to get certified in DSA using C#?

    Our Students Reviews

    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 hello@scholarhat.com

    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 hello@scholarhat.com

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