Data Structures And Algorithms In The C Programming Language from Udemy

Are you a great programmer? Prove it with this course. It is time that you learn how memory works on the processor and in the C programming language to work with C structures to make linked lists, arrays, queues and more.

This course will teach you all about creating internal data structures in C.

This course will teach you how to create the following:

Linked List Implementation

In our linked list implementation you will learn how we can use C pointers to link elements together in a chain

Double Linked List Implementation

In our double linked list implementation you will learn how you can use a previous pointer in an element to be able to iterate backwards through a linked list. This is called a double linked list.

Array List Implementation

Our array list implementation will allow us to add elements to a dynamic array, resizing it when needed.

Queue Implementation

Learn about first in last out techniques in our queue implementation.

Stack Implementation

Learn how to create a stack where you will be able to add an element to a stack and then take it off the stack later. That is why its called a stack.

Binary Tree Implementation

Learn how to create binary trees and why they are important.

All of the implementations described above will be created on video from scratch. You will learn how all of these work internally and when they should be used. This course is a "must have" for someone who has learned the fundamentals of the C Programming Language

What's inside

Learning objectives

Linked lists
Double linked lists
Arrays
Array list

Creating a stack
Creating a queue
Binary trees

Linked lists
Double linked lists
Arrays
Array list
Creating a stack
Creating a queue
Binary trees

Syllabus

Introduction

Understanding Arrays And Array Lists

This section covers all about linked lists

Understanding Linked Lists

This lecture shows how to delete elements from a linked list, we also improve our implementation

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches the implementation of fundamental data structures, which is essential knowledge for any programmer working with the C language

Covers linked lists, stacks, queues, and binary trees, which are building blocks for more complex algorithms and software systems

Focuses on internal data structure creation, which allows learners to understand memory management and optimize their C code

Requires familiarity with the fundamentals of the C programming language, so learners should have some experience before taking this course

Features video demonstrations of data structure implementations from scratch, which can help learners visualize and understand the underlying concepts

Reviews summary

Data structures implementation in c

According to learners, this course provides a solid foundation in implementing core data structures like linked lists, stacks, queues, and binary trees directly in C. Many appreciate the emphasis on pointers and memory management, finding that building structures from scratch through hands-on coding examples significantly solidified their understanding of how they work internally. Students often highlight this practical, low-level approach as a major strength. However, some learners note that the course assumes a very strong C background, particularly regarding pointer concepts, and the pace can feel fast-paced at times. Clarity of explanations and presentation style varies for individuals, with a few finding sections, like binary tree implementation, particularly challenging or needing supplementary resources. While focusing on implementation, some wished for more discussion on practical applications.

Course prioritizes building over application examples.

"Expected more practical applications, but it's mostly theoretical implementation."

"All of the implementations described above will be created on video from scratch."

"You will learn how all of these work internally and when they should be used."

Quality of explanations and presentation differs.

"The explanations can be a bit dry and sometimes assume prior knowledge..."

"Instructor knows the material but presentation isn't always the most engaging."

"The instructor is hard to follow, and the explanations are confusing."

"Explanations are decent, but sometimes a bit dense."

Explains low-level memory concepts in C.

"The explanations of pointers and memory management related to linked lists and arrays were particularly helpful."

"Deep dive into C pointers and implementing standard data structures..."

"Learned so much about memory allocation and how data structures are built from the ground up in C."

"Pointers and memory are explained clearly in the context of DS."

Hands-on coding projects reinforce learning.

"The hands-on coding examples where the instructor built everything step-by-step were fantastic."

"Building everything from scratch is the most valuable approach."

"The hands-on coding and projects are the strongest part of the course for me."

"This course really solidified my understanding... The examples were practical and well-explained."

Implementation of binary trees is difficult.

"I struggled a bit with the binary tree implementation section."

"Binary trees were harder, could use more examples."

"I had to supplementary resources online for binary trees..."

"More detailed diagrams or visual aids would have been useful."

Course requires solid prerequisite knowledge.

"If you don't have a VERY strong C background, this might be too difficult."

"Sometimes assume prior knowledge beyond basic C syntax."

"Rushes through complex C pointer concepts assuming everyone is an expert."

"Good if you already have some exposure to DS or are comfortable with C pointers."

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 The C Programming Language with these activities:

Review C Pointers

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Reinforce your understanding of C pointers, as they are fundamental to implementing data structures in C.

Browse courses on Pointers

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Review the syntax and usage of pointers in C.
Practice pointer arithmetic and memory allocation.
Work through examples of using pointers with structures.

Review 'The C Programming Language'

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Solidify your C programming fundamentals with the classic K&R book.

View C Programming Language, 2nd Edition on Amazon

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Obtain a copy of 'The C Programming Language'.
Review the chapters on pointers, structures, and memory management.
Work through the examples and exercises in the book.

Read 'Data Structures and Algorithm Analysis in C'

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Deepen your understanding of data structures and algorithms with a classic textbook.

View Data Structures and Algorithm Analysis in Java on Amazon

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Obtain a copy of 'Data Structures and Algorithm Analysis in C'.
Read the chapters relevant to the data structures covered in the course.
Work through the examples and exercises in the book.

Four other activities

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Show all seven activities

Implement Data Structures from Scratch

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Solidify your understanding by implementing the data structures covered in the course without relying on external libraries.

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Choose a data structure (e.g., linked list, stack, queue).
Implement the data structure in C from scratch.
Write test cases to verify the correctness of your implementation.

Create a Data Structure Visualization

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Enhance your understanding by creating a visual representation of how data structures work.

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Choose a data structure (e.g., binary tree).
Create a diagram or animation illustrating the data structure's operations.
Explain the key concepts and algorithms in your visualization.

Build a Simple Application Using Data Structures

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Apply your knowledge by building a small application that utilizes the data structures you've learned.

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Choose a simple application (e.g., address book, task manager).
Design the application's data structures using linked lists, arrays, etc.
Implement the application in C, utilizing your data structure implementations.
Test and debug your application.

Help others in online forums

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Reinforce your knowledge by helping other students with their data structure and algorithm questions.

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Find online forums or communities related to data structures and algorithms in C.
Answer questions and provide guidance to other students.
Explain concepts and provide code examples to help others understand.

Career center

Learners who complete Data Structures And Algorithms In The C Programming Language will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This course helps build a foundation for understanding data structures and algorithms, which are crucial for efficient software development. Creating linked lists, double linked lists, array lists, queues, stacks, and binary trees in C, as taught in this course, provides hands-on experience with fundamental data structures that software engineers use daily. The course's focus on memory management in C is particularly beneficial, as it helps optimize software performance. A prospective software engineer should take this course to get proficient with pointers.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer designs and implements algorithms for various applications. This course helps build a foundation for understanding and implementing fundamental algorithms using C. Creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course, are essential building blocks for algorithm design. The course’s focus on memory management and the use of C pointers enables algorithm developers to write efficient and optimized code. This course helps gain a deeper understanding of internal data structure implementation. Anyone wishing to become an Algorithm Developer should take this course.

See salaries and explore the career path for Algorithm Developer

Systems Programmer

A systems programmer develops and maintains operating systems and system software. This course helps build a foundation for understanding data structures and memory management in C, which are crucial for systems programming. Topics such as creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course, provide hands-on experience with essential data structures. The course's emphasis on C pointers and memory allocation helps optimize system performance. This course helps gain a deeper understanding of internal data structure implementation. Anyone wishing to become a Systems Programmer should take this course.

See salaries and explore the career path for Systems Programmer

Operating Systems Engineer

An operating systems engineer designs and develops operating systems. This course helps build a foundation for understanding data structures and algorithms in C, which is fundamental for OS development. Topics such as creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course, provide hands-on experience with essential data structures used in OS kernels. The course’s emphasis on memory management is vital for optimizing OS performance. The course helps gain a deeper understanding of internal data structure implementation. A future operating systems engineer should strongly consider taking this course.

See salaries and explore the career path for Operating Systems Engineer

Firmware Engineer

A firmware engineer develops low-level software that controls hardware devices. This course helps build a foundation for understanding data structures and algorithms in C, which are critical for firmware development. By creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course, one gains hands-on experience with essential data structures. The course's focus on memory management and optimization in C is crucial for resource-constrained environments. The course helps gain a deeper understanding of internal data structure implementation. Anyone wishing to become a Firmware Engineer should take this course.

See salaries and explore the career path for Firmware Engineer

Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems. This course helps build a foundation for understanding data structures and algorithms in C, which are crucial for efficient resource utilization in embedded systems. This includes creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course. The course's focus on memory management and optimization in C is particularly relevant for embedded systems, where memory is often limited. The course helps gain a deeper understanding of internal data structure implementation. Anyone wishing to become an Embedded Systems Engineer should take this course.

See salaries and explore the career path for Embedded Systems Engineer

Compiler Developer

A compiler developer designs and implements compilers that translate source code into machine code. This course helps build a foundation for understanding data structures and algorithms, which are essential for compiler design. This includes creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course. The course's emphasis on memory management and optimization in C is critical for compiler performance. This course helps gain a deeper understanding of internal data structure implementation. A prospective compiler developer should take this course.

See salaries and explore the career path for Compiler Developer

Game Developer

A game developer creates video games for various platforms. This course helps build a foundation for understanding data structures and algorithms, which are essential for game development. This includes creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course. The course's emphasis on memory management and optimization in C is important for game development, where performance is critical. The course helps gain a deeper understanding of internal data structure implementation. A future game developer should strongly consider taking this course.

See salaries and explore the career path for Game Developer

Robotics Engineer

A robotics engineer designs, builds, and programs robots. This course helps build a foundation for understanding data structures and algorithms in C, which are crucial for robot software development. Creating linked lists, double linked lists, array lists, queues, stacks, and binary trees, as covered in the course, provide practical experience with essential data structures. The course's focus on memory management and optimization in C is important for real-time control systems. The course helps gain a deeper understanding of internal data structure implementation. Anyone wishing to become a Robotics Engineer should take this course.

See salaries and explore the career path for Robotics Engineer

High-Frequency Trader

A high frequency trader develops and implements trading algorithms that execute trades at very high speeds. This course helps build a foundation for understanding data structures and algorithms in C, which is essential for writing efficient trading code. This includes creating linked lists, array lists, queues and stacks, as covered in this course. The course's focus on memory management and optimization in C is crucial for minimizing latency. The course helps gain a deeper understanding of internal data structure implementation. A prospective high frequency trader should strongly consider taking this course.

See salaries and explore the career path for High-Frequency Trader

Quantitative Analyst

A quantitative analyst, often requiring a master's degree or PhD, develops and implements mathematical and statistical models for financial analysis. This course may be useful, particularly the sections on array lists, queues, and binary trees. These data structures can be used for efficient data processing and model implementation. Creating stacks and queues, as covered in the course, helps in understanding event-driven simulations. The course helps gain a deeper understanding of internal data structure implementation. A prospective quantitative analyst may wish to consider taking this course to support their career goals.

See salaries and explore the career path for Quantitative Analyst

Data Scientist

A data scientist analyzes and interprets complex data using various tools and techniques. This course may be useful for data scientists, particularly the sections on array lists, queues, and binary trees. These data structures are foundational for efficiently storing and processing large datasets. Creating stacks and queues, as covered in the course, aids in understanding data processing pipelines. The course's implementation of binary trees in C helps understand hierarchical data structures. Prospective data scientists should take this course to gain a deeper understanding of data structures used in data analysis.

See salaries and explore the career path for Data Scientist

Data Engineer

A data engineer designs, builds, and maintains the infrastructure for data storage and processing. This course may be useful, especially the sections on array lists, queues, and binary trees. These data structures are fundamental for efficiently managing large volumes of data. Creating stacks and queues, as covered in the course, is helpful in understanding data processing pipelines. The course's implementation of binary trees in C aids in understanding hierarchical data organization. Anyone wishing to become a Data Engineer may wish to consider taking this course to support their career goals.

See salaries and explore the career path for Data Engineer

Blockchain Developer

A blockchain developer designs and implements blockchain solutions. This course may be useful, particularly the sections on linked lists and binary trees. These data structures are often used in blockchain implementations for efficient data storage and retrieval. The course helps gain a deeper understanding of internal data structure implementation. Creating the data structures may help provide additional insights into blockchain architecture. Anyone wishing to become a Blockchain Developer may wish to consider taking this course to support their career goals.

See salaries and explore the career path for Blockchain Developer

Database Administrator

A database administrator is responsible for managing and maintaining databases. This course may be useful, particularly the sections on array lists and binary trees. Understanding how data is structured and organized can aid in database design and optimization. Creating queues and stacks, as covered in the course, may help in understanding transaction processing. The course helps gain a deeper understanding of internal data structure implementation. Anyone wishing to become a Database Administrator may wish to consider taking this course to support their career goals.

See salaries and explore the career path for Database Administrator

Data Structures And Algorithms In The C Programming Language

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Learning objectives

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Reviews summary

Data structures implementation in c

Activities

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