Algorithms and Data Structures in C#: Complete Tutorial from Udemy

Why learn about data structures and algorithms?

Algorithms and data structures constitute the fundamentals of programming.

Good understanding of algorithms and data structures is one of the most important requirements for a great number of work positions. You'll have to solve many problems related to algorithms and data structures at coding interviews. Indeed, you can live without an understanding of algorithms and data structures, in general. However, you can do that until you face a real problem which requires to choose right data structures and implement custom algorithms. If you haven't ever faced such problems, believe me, this is just a matter of time. One day, you'll face such a problem and if you don't understand algorithms and data structures in depth, you'll feel yourself ashamed and helpless. You'll be stuck.
If you're not good at algorithms and data structures, you'll never pass a coding interview in a decent company. Almost all the companies prefer to hire those developers who have good understanding of algorithms and data structures, remember that. Do not delay the study of fundamental concepts.
Better hardware is not a solution for all the performance-related problems. Sometimes, you need to write software for very slow devices. And that very often depends on the budget of a customer, by the way, so you don't have a control over it.
You'd better to understand what's going on under the hood at least one level in-depth. Indeed, if you don't understand how List works, sometimes you'll make sub-optimal or completely wrong decisions.

Why this course?

You may ask me "why should I take exactly your course?" And here is my answer:

This course is a comprehensive tutorial which covers a great number of topics
I tried to do my best to make this course not dry
This course concentrates not only at algorithms and data structures in general but it uncovers the internals of data structures and algorithms built-in .NET BCL (.NET Core's BCL is the same regarding fundamental data structures and algorithms)
This course is practical with exercises and solutions
This course will definitely help you to pass technical interviews
This course is made by a professional software developer with more than 10 years of real-world experience
and many other reasons :)

What's in the Course?

For now, the course covers:

Introduction to Algorithms and Data Structures: what is a data structure, abstract data type and what's the difference between these notions. What is an algorithm and why they are important to us?
Introduction to Algorithm Analysis: determine how long will a program work, build a log-log plot, approximations, order of growth (Big-O notation), memory consumption
Arrays: arrays in C#, arrays in memory, time complexity of operations on arrays
Sort Algorithms: bubble sort, selection sort, insertion sort, recursion, shell sort, merge sort, quick sort, stability of sort algorithms
Lists: List built-in .NET BCL, nodes, linked list including singly and doubly linked lists, linked list built-in .NET
Stacks: theory and practice; stack based on array, stack based on a linked list, stack built-in .NET
Queues: theory and practice; queue based on array, circular queue, queue based on linked list, queue built-in .NET BCL
Search Algorithms: linear search, binary search (more will be added in the future)
Symbol Tables: intro, API, sequential search-based, binary search-based
Hash Tables: intro, hash functions, GetHashCode, approaches to collisions resolving: separate chaining and linear probing, Dictionary built-in BCL, Sets in BCL
Trees: binary search tree (BST), implementing BST (more will be added in the future)
Heaps: intro, heaps and arrays, implementation, Heap Sort (more will be added in the future, specifically about Priority Queues)
Immutable Collections: immutability and memory pressure, immutable stacks and queues, immutable list, immutable sets, immutable dictionaries, builders in immutable collections
Different Algorithms. This section will include different algorithms as you might guess. For now it convers the Sieve of Eratosthenes.

Take this course now and you'll be satisfied. Don't forget that Udemy provides 30-day money back refund policy, so if you don't like the course, you just click on a couple of buttons and get your money back.

What's inside

Learning objectives

Implement all the common data structures such as list, stack, queue and others understanding how they work under the covers
Use available data structures built-in .net correctly: choose right data structures, understanding how they work under the covers
Pass coding interviews where interviewers torture you by asking to implement different algorithms and data structures
Solve custom problems related to algorithms and data structures, so you'll be able to combine data structures and re-implement algorithms suiting them for concrete cases

Implement binary search tree
Understand and apply hash tables
Understand and apply symbol tables
Understand and apply heaps

Implement all the common data structures such as list, stack, queue and others understanding how they work under the covers
Use available data structures built-in .net correctly: choose right data structures, understanding how they work under the covers
Pass coding interviews where interviewers torture you by asking to implement different algorithms and data structures
Solve custom problems related to algorithms and data structures, so you'll be able to combine data structures and re-implement algorithms suiting them for concrete cases
Implement binary search tree
Understand and apply hash tables
Understand and apply symbol tables
Understand and apply heaps

Syllabus

Bubble Sort (Implementation)

Stability of Sort Algorithms

Materials

Source Code

Join .NET Community of Students

Introduction to Algorithms and Data Structures

Intro to Data Structures

Intro to Algorithms

Introduction to Algorithm Analysis

Time Complexity

Building a Log-Log Plot. Predicting the Running Time.

Approximations

Order of Growth

Arrays

Quick Overview of Arrays Built-In C#

Arrays in Memory

Time Complexity of Operations on Array

Sorting Algorithms

Bubble Sort (Theory)

Selection Sort (Theory)

Selection Sort (Implementation)

Insertion Sort (Theory)

Insertion Sort (Implementation)

Recursion

Shell Sort (Theory)

Shell Sort (Implementation)

Merge Sort (Theory)

Merge Sort (Implementation)

Quick Sort (Theory)

Quick Sort (Implementation)

Lists

List Built-In BCL

Node as a Basic Building Block

Linked Lists

Singly-Linked List (Theory)

Singly-Linked List (Implementation)

Doubly-Linked List (Theory)

Doubly-Linked List (Implementation)

LinkedList Built-In BCL

Stacks

Stacks (Theory)

Stack Implementation (Array)

Stack Implementation (LinkedList)

Stack Built-In .NET & General Characteristics

Queues

Queue (Theory)

Queue Implementation (Array)

Circular Queue (Theory)

Circular Queue (Implementation)

Queue Implementation (LinkedList)

Queue Built-In .NET BCL

Search Algorithms

Linear Search

Binary Search (Theory)

Binary Search (Implementation)

Symbol Tables

Introduction to Symbol Tables

API of Symbol Tables

Sequential Search (Trivial Approach)

Sequential Search: Homework

Sequential Search: Solution for Homework

Binary Search-based Symbol Table

Binary Search-based Symbol Table: Homework

Binary Search-based Symbol Table: Solution for Homework

Conclusion

Symbol Tables and Hashing (Hash Tables)

Introduction to Hash Tables

Hashing in Primitives and GetHashCode

GetHashCode in Value Types and Reference Types

Importance of Hash Codes. Implementing GetHashCode

Resolving Collisions

Separate Chaining

Separate Chaining: Homework

Separate Chaining: Solution for Homework

Linear Probing

Built-In Dictionaries

Sets and Built-In Sets

Trees

Introduction to Trees

Binary Search Tree (BST)

Simple BST Implementation

Removal in BST: Theory

Removal in BST: Implementation

Heaps and Heap Sort

Heap Definition

Heaps and Arrays

Insertion: Theory

Insertion: Implementation

Remove: Theory

Implementing Peek and Remove

Performance of Operations in a Heap

Heap Sort: Theory

Heap Sort: Implementation

Priority Queue: to be continued...

Different Algorithms

Sieve of Eratosthenes

to be continued...

Immutable and Concurrent Collections

Outline

Introduction

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers the internals of data structures and algorithms built into the .NET BCL, offering insights into the framework's underlying mechanisms

Includes practical exercises and solutions, providing hands-on experience to solidify understanding and improve problem-solving skills

Aims to help learners pass technical interviews by teaching them how to implement different algorithms and data structures from scratch

Explores immutable collections, which are useful for writing concurrent and thread-safe code, which is a valuable skill in modern software development

Requires learners to implement data structures and algorithms themselves, which may be challenging for those who prefer to use built-in libraries

Focuses on older .NET BCL implementations, which may not reflect the latest performance optimizations and features available in newer .NET versions

Reviews summary

Comprehensive c# algorithms and data structures

According to learners, this course offers a largely positive exploration of algorithms and data structures in C#. Students praise the instructor's clear explanations and the practical approach, often finding it highly beneficial for interview preparation. Many highlight the course's strength in covering fundamental concepts and providing working code examples. While some notes mention the need for prior C# knowledge, the overall sentiment indicates that the course is a valuable resource for building a solid foundation in these critical areas.

Clean and well-written code.

"The code provided is clean, well-commented, and easy to follow."

"Appreciate the quality of the implementation code shown in the lectures."

"Instructor writes clear, understandable code examples which is a huge plus."

Builds a solid base in core concepts.

"Provides a solid theoretical and practical foundation in algorithms and data structures."

"Great for understanding the fundamental principles before diving deeper."

"Starts with the basics and builds up, making it great for getting the fundamentals right."

Course includes useful, practical coding demos.

"Plenty of practical examples and code demos that help solidify the concepts being taught."

"The hands-on coding examples are really helpful for understanding implementation details."

"Working through the code alongside the lectures makes the learning much more effective."

Highly relevant for coding interviews.

"This course is excellent preparation for technical interviews focusing on algorithms and data structures."

"Definitely feel more confident tackling coding interview questions after taking this course."

"The content aligns well with typical algorithm and data structure questions asked in interviews."

Instructor clarifies complex topics effectively.

"The instructor explains concepts very clearly and makes complex topics easy to understand."

"Loved how the algorithms and data structures were broken down. Explanations are top-notch."

"Clear and concise explanations throughout the course. Helps build a strong foundation."

Assumes foundational C# knowledge.

"Prospective students should have a basic understanding of C# before starting this course."

"While the course is good, it helps immensely if you are already familiar with C# basics."

"Not for absolute beginners in C#; you need to know the language fundamentals."

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 Algorithms and Data Structures in C#: Complete Tutorial with these activities:

Review C# Fundamentals

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Solidify your understanding of C# syntax, data types, and object-oriented principles. This will provide a strong foundation for understanding the C# implementations of data structures and algorithms covered in the course.

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Review C# syntax and data types.
Practice writing simple C# programs.
Study object-oriented programming concepts in C#.

Review 'CLR via C#'

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Gain a deeper understanding of the .NET runtime environment to optimize your C# code. This will help you write more efficient and performant data structures and algorithms.

View Windows Runtime via C# (Developer Reference) on Amazon

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Read the chapters related to memory management and garbage collection.
Study the sections on threading and concurrency.
Experiment with different C# features to understand their performance implications.

Review 'Data Structures and Algorithms with C#'

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Supplement the course material with a comprehensive textbook on data structures and algorithms in C#. This will provide a broader and deeper understanding of the topics covered.

View Data Structures and Algorithms with JavaScript on Amazon

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Read the chapters relevant to the course syllabus.
Work through the code examples provided in the book.
Attempt the exercises at the end of each chapter.

Four other activities

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Show all seven activities

Help Other Students in the Course Forum

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Reinforce your understanding by helping other students with their questions and problems. Explaining concepts to others is a great way to solidify your own knowledge.

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Regularly check the course forum for questions.
Provide helpful and informative answers to student queries.
Share your insights and experiences with the course material.

Implement Data Structures from Scratch

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Reinforce your understanding of data structures by implementing them from scratch in C#. This hands-on practice will solidify your knowledge of the underlying principles and improve your coding skills.

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Test your implementation thoroughly.
Choose a data structure (e.g., linked list, stack, queue).
Implement the data structure in C# without using built-in classes.

Build a Simple Application Using Data Structures

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Apply your knowledge of data structures to build a practical application in C#. This project will help you see how data structures are used in real-world scenarios and improve your problem-solving skills.

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Choose a simple application to build (e.g., a to-do list, a contact manager).
Design the application using appropriate data structures.
Implement the application in C#.
Test and debug your application.

Solve Algorithm Problems on LeetCode

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Sharpen your algorithm skills by solving problems on platforms like LeetCode. This will help you prepare for coding interviews and improve your ability to solve complex problems efficiently.

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Choose algorithm problems related to the course topics.
Implement solutions in C#.
Analyze the time and space complexity of your solutions.

Career center

Learners who complete Algorithms and Data Structures in C#: Complete Tutorial will develop knowledge and skills that may be useful to these careers:

Algorithm Developer

An algorithm developer researches, designs, and implements algorithms for various applications. This Algorithms and Data Structures course is directly applicable to this role, as it provides a comprehensive overview of essential algorithms and data structures. Algorithm developers need a deep understanding of the theoretical foundations of algorithms, as well as the practical skills to implement them efficiently. The course's emphasis on practical implementation in C# allows an algorithm developer to experiment with different algorithms and data structures. Furthermore, the course's coverage of algorithm analysis and time complexity helps an algorithm developer design algorithms that are both efficient and scalable. An advanced degree may be required.

See salaries and explore the career path for Algorithm Developer

Software Developer

A software developer designs, develops, and tests software applications. This Algorithms and Data Structures course provides a deep dive into the fundamental concepts that are essential for any software developer. With its practical exercises and focus on the internal workings of data structures and algorithms, the course helps one to write efficient and effective code. The hands-on experience gained from implementing data structures and algorithms in C# as taught in this course is invaluable for a career in software development. The course's coverage of .NET BCL internals helps a software developer use built-in data structures optimally.

See salaries and explore the career path for Software Developer

Data Engineer

A data engineer builds and maintains the infrastructure for data storage and processing. A data engineer needs a solid understanding of algorithms and data structures to design efficient data pipelines and storage solutions. This Algorithms and Data Structures course is especially useful because it covers essential topics such as hash tables, trees, and search algorithms, all of which are fundamental to data engineering. The practical exercises in the course helps a data engineer implement and optimize data processing workflows. A data engineer benefits from understanding the performance characteristics of different algorithms and data structures.

See salaries and explore the career path for Data Engineer

Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems, such as those found in cars and appliances. This Algorithms and Data Structures course is useful for writing efficient code that can run on resource-constrained devices. This course will help an embedded systems engineer design performant systems. The discussion of BCL internals will also be helpful as it relates to memory management. This course has assignments that are related to real-world scenarios.

See salaries and explore the career path for Embedded Systems Engineer

Game Developer

A game developer creates video games for various platforms. Game development often requires efficient algorithms and data structures for managing game objects, physics simulations, artificial intelligence, and rendering. This Algorithms and Data Structures course is definitely useful, as it covers essential topics such as search algorithms, trees, and hash tables, all of which are fundamental to game development. The course’s emphasis on practical implementation in C# is directly applicable to game development using engines like Unity. Mastering the concepts explained in this course allows a game developer to optimize performance and create compelling game experiences.

See salaries and explore the career path for Game Developer

Full-Stack Developer

A full stack developer works on both the front-end and back-end of web applications. This Algorithms and Data Structures course is helpful in developing efficient back-end systems and optimizing front-end performance. Backend systems make heavy use of data structures. A full stack developer can use the .NET BCL datastructures more effectively by understanding the underlying implementations as taught on this course. The hands-on assignments in this course will help cement the knowledge gained.

See salaries and explore the career path for Full-Stack Developer

Systems Architect

A systems architect designs and implements complex computer systems. Efficiency and scalability are critical considerations for any systems architect. This Algorithms and Data Structures course helps you by providing the fundamental knowledge needed to design and optimize system performance. A systems architect often needs to select the appropriate data structures and algorithms for specific tasks. The course's emphasis on practical implementation and its coverage of .NET BCL internals helps a systems architect make informed decisions about system design and implementation. In particular, knowledge of time complexity and order of growth helps a systems architect design systems that can handle large volumes of data and traffic.

See salaries and explore the career path for Systems Architect

Blockchain Developer

A blockchain developer creates decentralized applications using blockchain technology. This Algorithms and Data Structures course will help any blockchain developer understand Merkle trees and hash functions. A blockchain developer will need to understand how to evaluate collisions, and how to best organize data for the blockchain. The topics in this course will help a blockchain developer be more effective in their job.

See salaries and explore the career path for Blockchain Developer

Firmware Engineer

A firmware engineer develops low-level software that controls hardware devices. This Algorithms and Data Structures course is useful by providing the fundamental knowledge needed to write efficient and reliable firmware code. Firmware engineers often work with limited resources, so understanding how to optimize algorithms and data structures is crucial. The course’s focus on practical exercises and its coverage of data structure internals helps a firmware engineer write code that is both efficient and robust. The topics covered in this course, such as arrays, lists, stacks, and queues, are all directly applicable to firmware development.

See salaries and explore the career path for Firmware Engineer

Mobile Application Developer

A mobile application developer creates applications for mobile devices. This Algorithms and Data Structures course may be useful for optimizing app performance and managing data efficiently on mobile platforms. Mobile application developers create apps that are efficient on limited hardware. This course helps a mobile application developer be efficient in their development of apps. A strong understanding of algorithms and data structures helps a mobile application developer build responsive and performant mobile apps. This course's assignments are useful.

See salaries and explore the career path for Mobile Application Developer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. A strong understanding of algorithms and data structures may be useful for optimizing model performance and handling large datasets. This Algorithms and Data Structures course is a starting point, as it covers topics such as trees, heaps, and search algorithms, which are relevant to machine learning. The practical implementation skills taught in this course provide a solid foundation for implementing machine learning algorithms in C#. A machine learning engineer would benefit from using this course to gain a deeper understanding of how different algorithms and data structures impact model performance. An advanced degree may be required.

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Robotics Engineer

A robotics engineer designs, builds, and maintains robots. A strong understanding of algorithms and data structures may be useful for developing efficient control systems and processing sensor data in real-time. This Algorithms and Data Structures course will help you implement the best control systems. Robotics engineers can gain a deeper appreciation for what goes on under the hood. The assignments in the course will prove to be useful for a robotics engineer.

See salaries and explore the career path for Robotics Engineer

Database Administrator

A database administrator manages and maintains databases, ensuring data availability and integrity. A strong understanding of algorithms and data structures helps a database administrator optimize database performance and design efficient data storage solutions. This Algorithms and Data Structures course may be useful because it covers topics such as hash tables, trees, and search algorithms, which are relevant to database indexing and query optimization. The knowledge gained from this course helps a database administrator make informed decisions about database design and configuration. The course's focus on practical implementation provides the skills to analyze and improve database performance.

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Data Scientist

A data scientist analyzes and interprets complex data to help organizations make better decisions. This Algorithms and Data Structures course may be useful by providing the foundational knowledge needed to understand and implement various data processing techniques. Data scientists often deal with large datasets, and efficiency is key; a strong understanding of algorithms and data structures, such as those covered in this course, helps a data scientist write code that scales well. Understanding different search algorithms and data organization principles, as taught in this course, allows a data scientist to extract insights from data more effectively.

See salaries and explore the career path for Data Scientist

Quality Assurance Engineer

A quality assurance engineer tests software to ensure it meets quality standards. The skills learned in this Algorithms and Data Structures course may be useful for understanding the underlying code and identifying potential performance bottlenecks. A strong understanding of algorithms and data structures helps a quality assurance engineer design effective test cases and analyze test results. The course's coverage of time complexity and order of growth helps a quality assurance engineer identify potential performance issues. The ability to implement and understand data structures, as taught in this course, helps a quality assurance engineer write more effective tests.

See salaries and explore the career path for Quality Assurance 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 Algorithms and Data Structures in C#: Complete Tutorial.

Data Structures and Algorithms with JavaScript

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Provides a comprehensive overview of data structures and algorithms using C#. It serves as a valuable reference for understanding the theoretical concepts and practical implementations discussed in the course. The book offers detailed explanations, code examples, and exercises to reinforce learning. It is commonly used as a textbook in academic settings.

Data Structures and Algorithms with JavaScript

Paperback

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Data Structures and Algorithms with JavaScript

Kindle Edition

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Windows Runtime via C#

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Provides a deep dive into the Common Language Runtime (CLR) and the .NET framework. While not directly focused on data structures and algorithms, it offers valuable insights into how C# code is executed and managed, which can help you write more efficient and performant code. It useful reference for understanding the underlying mechanisms of the .NET platform.

Windows Runtime via C# (Developer Reference)

Kindle Edition

Algorithms and Data Structures in C#

Complete Tutorial

What's inside

Learning objectives

Syllabus

Good to know

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Reviews summary

Comprehensive c# algorithms and data structures

Activities

Career center

Reading list

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