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Deepali Srivastava

This "Data Structures and Algorithms In C#" course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

Instructor is author of popular books "C In Depth" and "Data Structures Through C In Depth" helped 250,000+ students & professionals.

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This "Data Structures and Algorithms In C#" course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

Instructor is author of popular books "C In Depth" and "Data Structures Through C In Depth" helped 250,000+ students & professionals.

This "Data Structures and Algorithms in C#" tutorial will help you develop a strong background in Data Structures and Algorithms (DSA). The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This Data Structures and Algorithms using C# course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.

This Data Structures in C# course covers following topics with C# implementation :

Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Recursion, Heap, Searching, Hashing

Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Here is the course content-

  • Algorithm Analysis

  • Linked List

  • Stack and Queue

  • Recursion

  • Binary Tree

  • Binary Search Tree

  • Heap

  • Sorting

  • Searching

  • Hashing

Throughout this Data Structures and Algorithms with C# course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see code implementation of different data structures in C# and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in C# coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in C# interview topics helps you to attempt tricky interview questions.

In this Data Structures and Algorithms Through C# In Depth course, C# programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, Java or Python.

This Learn Data Structures and Algorithms In C# online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In C# books / pdf and also to students learning from referred book / pdf.

What students are saying about this course-

"Very knowledgeable tutor. So much better than reading a book. It is really helpful for coding assessment."

"Clear and concise explanation of basic to advanced data structures. I was able to utilize this knowledge in refactoring my application to perform faster. Lot of concepts were covered in this course which helps in tackling interview questions."

"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 really like this course and 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. Keep up the great work. "  

"This course is extraordinary i recommend for all data structure and algorithm beginner who study any programming language  "

"This is an excellent course - very similar to the Intro to Data Structures and Algorithms course I took in college. The diagrams and pictures are very helpful. The examples are all written out in clear and simple C# code. If your goal is to be able to whiteboard coding algorithms this course is a good place to start."

"Yes its really helpful to understand Algorithms and Data structures being a programmer me."

"short and precise introduction, author is convincing as efficient instructor"

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

"Nice explanation of Trees and Binary Tree" 

"Very clear and concise explanations and examples. I learned a lot of data structures." 

"the explanation is clear and easily understandable"  

"Concepts explained neatly . "  

"The lectures are clear and precise."

"Great tutorial"

"The author is doing a superb job so far at explaining the concepts behind algorithms and data structures." 

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What's inside

Learning objectives

  • Understand the details of data structures and algorithms (dsa) through animations
  • Learn to write programs for different data structures and algorithms in c#
  • Get the confidence to face programming interviews
  • Test your knowledge with over 100 quiz questions
  • Learn how to analyse algorithms
  • Get the ability to write and trace recursive algorithms

Syllabus

About course
Introduction to Data Structures and Algorithms Through C# In Depth
Introduction to Data Structures and Algorithms
Important : Source Code Repository required for course
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses C# programs to implement various concepts, but these can be easily coded in other languages like C++, Java, or Python, making it versatile for different programming backgrounds
Includes quizzes after each topic to test newly acquired knowledge, reinforcing learning and providing immediate feedback, which is helpful for self-assessment and knowledge retention
Breaks down the course into easy-to-assimilate short lectures, which can help learners manage their time effectively and focus on specific concepts without feeling overwhelmed
Employs animations to simplify the learning of complex topics, which can be particularly beneficial for visual learners and those who struggle with abstract concepts
Covers a comprehensive range of data structures and algorithms, including linked lists, stacks, queues, trees, heaps, searching, and sorting, providing a solid foundation in DSA
Instructor is the author of popular books on C# and data structures, suggesting a high level of expertise and a well-established teaching methodology, which may appeal to learners seeking guidance

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Reviews summary

Dsa in c#: clear, animated, interview-focused

According to learners, this course provides clear and concise explanationspositive of Data Structures and Algorithms concepts. Many found the effective animations and visualspositive extremely helpful for understanding complex topics. It is frequently highlighted as being very helpful for coding interview preparationpositive, covering essential topics in C#. The course provides practical C# code examplesneutral, though a few students noted that the pace can be unevenwarning and some sections might lack sufficient depth for advanced learnerswarning. Overall, it is considered highly effective for beginners or those looking to refresh their DSA knowledgepositive in C#.
Working C# programs illustrate concepts.
"The C# code examples are clean and easy to follow."
"The C# implementations are useful."
"The examples are all written out in clear and simple C# code."
"The C# code provided is functional but could benefit from more modern practices or efficiency discussions."
"Clear C# code..."
Best for beginners/refreshers, not absolute C# newcomers.
"It's geared towards beginners or those refreshing concepts."
"If you're already familiar with DSA, this might be too basic in parts."
"If you're completely new to C#, this might be a struggle."
"recommended for all data structure and algorithm beginner who study any programming language"
Visuals like animations enhance learning.
"The animations are a game-changer for visualizing how algorithms work."
"Animations for linked lists and sorting are super helpful."
"The diagrams and pictures are very helpful."
"Very informative and the visual style helped picture it better."
"Animations are a big plus."
Helpful for coding interview preparation.
"Highly recommend for anyone wanting to master DSA in C#, especially for coding interviews."
"I felt it prepared me reasonably well for interviews, but I still needed to practice problems on my own."
"helps in tackling interview questions."
"If your goal is to be able to whiteboard coding algorithms this course is a good place to start."
"Interview prep value is high."
Concepts are explained clearly and concisely.
"The instructor explains complex topics like trees and graphs with such clarity."
"Clear and concise explanation of basic to advanced data structures."
"Excellent explanations, clear C# code, amazing animations."
"Very clear and concise explanations and examples. I learned a lot of data structures."
"the explanation is clear and easily understandable"
Pace is uneven; some topics lack depth.
"I found some sections rushed, and the explanations weren't always deep enough, especially for advanced topics."
"I found the pace uneven. Some parts dragged, while others were too fast."
"I expected more depth."
"I found myself needing external resources for better understanding on some algorithms."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Structures and Algorithms In C# ( DSA ) with these activities:
Review C# Fundamentals
Solidify your understanding of C# syntax, data types, and object-oriented principles. This will provide a strong foundation for implementing data structures and algorithms in C#.
Show steps
  • Review C# syntax and data types.
  • Practice writing simple C# programs.
  • Understand object-oriented programming concepts.
Help Others on the Course Forums
Reinforce your understanding by helping other students on the course forums. Explaining concepts to others will solidify your own knowledge and identify any gaps in your understanding.
Show steps
  • Regularly check the course forums for questions from other students.
  • Provide helpful and informative answers to their questions.
  • Explain concepts in your own words and provide code examples.
Cracking the Coding Interview
Practice common data structure and algorithm interview questions. This will help you apply your knowledge and improve your problem-solving skills.
Show steps
  • Read the relevant chapters on data structures and algorithms.
  • Solve practice problems from the book.
  • Analyze the solutions and understand the underlying concepts.
Four other activities
Expand to see all activities and additional details
Show all seven activities
LeetCode Data Structure Problems
Sharpen your coding skills by solving data structure problems on LeetCode. This will provide hands-on experience and improve your ability to implement data structures and algorithms efficiently.
Show steps
  • Select a set of LeetCode problems related to the course topics.
  • Attempt to solve the problems independently.
  • Review the solutions and optimize your code.
Create a Blog Post on Algorithm Analysis
Solidify your understanding of algorithm analysis by writing a blog post explaining Big O notation and time complexity. This will help you communicate complex concepts clearly and concisely.
Show steps
  • Research Big O notation and time complexity.
  • Write a clear and concise explanation of the concepts.
  • Provide examples of how to analyze the time complexity of different algorithms.
  • Publish your blog post on a platform like Medium or your own website.
Implement a Data Structures Library
Create your own C# library containing implementations of various data structures. This will deepen your understanding of the underlying principles and improve your coding skills.
Show steps
  • Choose a set of data structures to implement (e.g., linked list, stack, queue, binary tree).
  • Write C# code to implement each data structure.
  • Write unit tests to ensure the correctness of your implementations.
  • Document your library and make it available on GitHub.
Algorithms
Expand your knowledge of algorithms and data structures by reading a comprehensive textbook. This will provide a broader perspective and deeper understanding of the subject.
Show steps
  • Read the chapters relevant to the course topics.
  • Work through the examples and exercises.
  • Compare the Java implementations with C# implementations.

Career center

Learners who complete Data Structures and Algorithms In C# ( DSA ) will develop knowledge and skills that may be useful to these careers:
Algorithm Engineer
An algorithm engineer designs and optimizes algorithms for various applications, often focusing on improving performance and efficiency. This course on Data Structures and Algorithms in C# (DSA) is directly relevant to the role of an algorithm engineer. The course provides a detailed understanding of fundamental data structures and algorithms, including sorting, searching, and hashing. Also, the course covers algorithm analysis, which is crucial for evaluating and comparing different algorithms. A firm understanding of the materials taught in this course will be essential for the algorithm engineer.
Software Developer
A software developer designs, develops, and tests software applications. This course on Data Structures and Algorithms in C# (DSA) provides a strong foundation for any aspiring software developer. Understanding data structures such as linked lists, stacks, queues, and trees, as covered in the course, is essential for efficient software design. Knowledge of algorithms covered in this course such as sorting, searching, and hashing allows a software developer to optimize the performance of applications. The course will be very useful to a software developer.
Full-Stack Developer
A full stack developer works on both the front-end and back-end of web applications, requiring a broad range of technical skills. This course on Data Structures and Algorithms in C# (DSA) provides foundational knowledge that contributes to efficient web application development. Understanding data structures such as linked lists, stacks, and queues, contributes to efficient data management on both the client and server sides. Knowledge of algorithms helps optimize application performance and deliver responsive user experiences. The dedicated full stack developer can improve their own depth of knowledge by studying Data Structures and Algorithms with C#.
Software Architect
A software architect designs the high-level structure of software systems, making critical decisions about technology choices and system architecture. This course on Data Structures and Algorithms in C# (DSA) is very useful to the software architect. Understanding the trade-offs between different data structures and algorithms, as covered in the course, is essential for designing scalable and efficient systems. Furthermore, knowledge of algorithm analysis and time complexity helps the architect make informed decisions about system performance. All software architects may gain from the knowledge found in this course.
Web Developer
A web developer builds and maintains websites and web applications, often working with front-end and back-end technologies. This course on Data Structures and Algorithms in C# (DSA) provides foundational knowledge that is useful for improving web application performance. Understanding data structures such as hash tables and trees contributes to efficient data storage and retrieval on the server side. Knowledge of algorithms, especially sorting and searching, contributes to delivering responsive user experiences. The conscientious web developer may improve their own expertise by learning Data Structures and Algorithms with C#.
Mobile App Developer
A mobile app developer creates applications for smartphones and tablets, often requiring a strong understanding of mobile development frameworks and programming languages. This course on Data Structures and Algorithms in C# (DSA) provides foundational knowledge that helps optimize app performance. Understanding data structures like linked lists and trees, as covered in the course, contributes to efficient data management within the app. Knowledge of algorithms such as sorting and searching can help optimize app responsiveness. The diligent mobile app developer may improve their programming abilities by studying Data Structures and Algorithms in C#.
Game Developer
A game developer creates video games for various platforms, often requiring strong programming skills and knowledge of game development principles. This course on Data Structures and Algorithms in C# (DSA) provides foundational knowledge that helps build games efficiently. Understanding data structures like trees and graphs is very useful for managing game objects and environments. Knowledge of algorithms, especially searching and sorting, can help optimize game performance. The quizzes and examples presented in the Data Structures and Algorithms in C# (DSA) course provide the knowledge necessary to improve as a game developer.
Data Engineer
A data engineer builds and maintains the infrastructure for data storage, processing, and analysis. This course on Data Structures and Algorithms in C# (DSA) helps build efficient data pipelines. Understanding data structures and algorithms helps a data engineer optimize data processing workflows and ensure data quality. This course, Data Structures and Algorithms in C#, will be helpful to a data engineer.
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models, often requiring strong programming skills and knowledge of machine learning algorithms. This course on Data Structures and Algorithms in C# (DSA) is useful for machine learning engineers, particularly those who need to implement custom algorithms. Understanding fundamental data structures such as trees and graphs contributes to efficient data processing and model training. Knowledge of algorithms helps optimize the performance of machine learning models. The diligent machine learning engineer may improve their programming abilities by learning the materials in this course.
Data Scientist
A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. This course on Data Structures and Algorithms in C# (DSA) may be useful for data scientists who need to implement custom algorithms or optimize data processing pipelines. Understanding data structures covered in the course such as trees and hash tables is helpful for organizing and accessing data efficiently. Furthermore, knowledge of algorithm analysis and time complexity can allow a data scientist to choose appropriate data structures and algorithms for specific tasks. This will be very useful for a data scientist.
Database Administrator
A database administrator (DBA) manages and maintains databases, ensuring data integrity, security, and availability. This course on Data Structures and Algorithms in C# (DSA) may be useful when a database administrator is tasked with optimizing database performance. Understanding data structures such as trees and hash tables, as taught in this course, is relevant to understanding how databases store and retrieve data. Furthermore, familiarity with sorting and searching algorithms can help the DBA in query optimization. By taking this course, the database administrator will expand one's ability to solve complex issues.
Systems Architect
A systems architect designs and implements complex software systems, ensuring scalability, reliability, and performance. While a systems architect may not write code day to day, this course on Data Structures and Algorithms in C# (DSA) may be useful in making informed decisions about technology choices. Understanding the performance characteristics of different data structures and algorithms, as covered in the course, is useful for designing systems that can handle large amounts of data and traffic. The systems architect may find algorithms to be a useful area of study.
Embedded Systems Engineer
An embedded systems engineer designs and develops software for embedded systems, which are specialized computer systems within devices. This course on Data Structures and Algorithms in C# (DSA) may be useful for an embedded systems engineer, particularly when working with resource-constrained environments. Understanding data structures, especially those that are memory-efficient, is very useful. An embedded systems engineer may find sorting and searching algorithms to be useful.
Quality Assurance Engineer
A quality assurance engineer tests software to ensure it meets quality standards and functions correctly. This course on Data Structures and Algorithms in C# (DSA) may be useful for a quality assurance engineer who wishes to develop automated testing tools or scripts. Understanding data structures may be useful when creating test cases that involve complex data scenarios. Similarly, knowledge of algorithms covered in this course may be useful when evaluating the performance of software under test. The diligent quality assurance engineer may improve their own abilities by studying algorithms.
DevOps Engineer
A DevOps engineer automates and streamlines software development and deployment processes, often using scripting and configuration management tools. While not directly related to daily tasks, this course on Data Structures and Algorithms in C# (DSA) may be helpful for a DevOps engineer in understanding the underlying principles of software performance. Knowledge of algorithm analysis and time complexity, as covered in the course, may be useful when optimizing deployment scripts or infrastructure configurations. This knowledge may boost the abilities of the DevOps engineer.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Structures and Algorithms In C# ( DSA ).
Widely used resource for preparing for coding interviews, featuring a comprehensive collection of programming questions and solutions. It covers a wide range of data structures and algorithms, making it an excellent companion to the course for interview preparation. It provides practical examples and insights into common interview questions.
Comprehensive overview of algorithms and data structures, suitable for students and professionals. While not specific to C#, the fundamental concepts are universally applicable and provide a strong theoretical foundation. It's a valuable resource for understanding the underlying principles behind the algorithms covered in the course, offering a broader perspective and more in-depth analysis.

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