AlgoMasterC

Online Learning

Algorithms in C
and Data Structures

Learn the basics of algorithms and data structures in C and prepare for interviews with MCQs and quizzes. Join the course and pave your way to a successful career in programming!

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Algorithms and data structures in C
- the foundation for top developers

1 000 000

Over one million IT jobs require knowledge of algorithms and data structures

70%

Candidates fail interviews due to poor understanding of DSA

24/7

Continuous demand for specialists - algorithms are always needed in any project

About the course

This course is a complete guide to Data Structures and
Algorithms (DSA) in C that will prepare you for real-world
development tasks and technical interviews at top IT companies.

Who this course is for

Beginning Programmers

Build a strong foundation in C algorithms and data structures to get a strong start in IT.

Computer Science Students

Simplify your preparation for exams and technical interviews with in-depth DSA examples.

Experienced developers
preparing for job interviews

Pump up your LeetCode-level algorithmic problem solving skills and get an edge in FAANG selection.

What makes this course special?

Deep understanding of DSA in C

from basic structures (linked lists, stacks, queues) to advanced algorithms (hashing, graphs, dynamic programming).

Practice through LeetCode-like problems

analyzing real-life tasks that are encountered at job interviews

Preparing for Viva and MCQ-tests

practicing answers to theoretical questions and multiple choice tests

Parsing interview questions

including FAANG tasks (Google, Meta, Amazon, etc.).

Implementation of all algorithms in C

with step-by-step explanation and optimization

What skills you will acquire after taking the course

Master the nuances of Data Structures and Algorithms (DSA) with the help of animations.

Learn to develop programs for various data structures and algorithms in C.

Test your skills by answering DSA programming interview questions.

Prepare for the interview - Over 100 MCQs and interview questions on Data Structures and Algorithms (DSA).

Learn how to analyze algorithms.

Gain skills in writing and debugging recursive algorithms.

Course Program

Module 1: About the Course

Introduction

Module 2: Introduction to Data Structures and Algorithms

Important: Source Code Repository required for course
Data Structures and Algorithms
Measuring Running Time of Algorithms
Asymptotic Analysis
Big O Notation
Finding Big O
Tight and Loose Upper Bounds
Introduction Quiz A
Big O analysis of Algorithms
Finding Time Complexity
Big O analysis of Algorithms: Examples
Worst case, Best case and Average Case Analysis
Common Complexities
Abstract Data Types
Introduction Quiz B

Module 3: Linked List

Introduction to Linked List in C
Traversing and searching a single linked list
Searching for pointers in a single linked list
Difference between while(p!=NULL) and while(p->link!=NULL)
Inserting into a single linked list
Continued
Deletion in a Single Linked List
Your Review Matters!
Reversing a Single Linked List
Linked List Quiz A
Doubly linked list
Insertion in a doubly linked List
Deletion from doubly linked list
Reversing a doubly linked list
Circular linked list
Insertion in a circular Linked List
Deletion in a circular linked list
Concatenation
Linked List with Header Node
Sorted linked list
Merging of sorted Linked lists
Sorting a Linked list using Bubble Sort
Sorting a Linked list using Merge Sort
Finding and Removing a cycle in a Linked list
Linked List Quiz B

Module 4: Stack and Queue

Introduction
Stack
Array Implementation of Stack
Linked List Implementation of Stack
Queue
Array Implementation of Queue
Linked List implementation of Queue
Queue through Circular Linked List
Circular Queue
Deque
Priority Queue
Checking validity of an expression containing nested parentheses
Function calls
Evaluating Arithmetic Expressions
Polish Notations
Converting infix expression to postfix expression
Evaluation of postfix expression
Stack and Queue Quiz

Module 5: Recursion

Introduction
Flow of control in Recursive functions
Winding and unwinding phase
Factorial
Printing numbers from 1 to n
Sum of digits of an integer
Base conversion
Finding nth power of a number
Euclids Algorithm
Fibonacci Series
Tower of Hanoi
Tail recursion
Recursion vs. Iteration
Recursion Quiz

Module 6: Binary Tree

Introduction to Trees
Binary Tree
Strictly Binary Tree and Extended Binary Tree
Full binary tree and Complete Binary Tree
Array Representation of Binary trees
Linked Representation of Binary Trees
Binary Tree Quiz A
Traversal in Binary Tree
Preorder Traversal
Inorder Traversal
Postorder Traversal
Level order traversal
Finding height of a Binary tree
Binary Tree in C
Constructing Binary tree from Traversals
Constructing binary tree from inorder and preorder traversals
Constructing binary tree from postorder and inorder traversals
Binary Tree Quiz B

Module 7: Binary Search Tree

Introduction
Traversal in Binary Search Tree
Searching in a Binary Search Tree
Nodes with Minimum and Maximum key
Insertion in a Binary Search Tree
Deletion in a Binary Search Tree
Binary Search Tree Quiz

Module 8: Heap

Introduction
Heap Representation
Insertion in Heap
Deletion
Building a heap
Heap Applications
Heap Tree Quiz

Module 9: Sorting

Introduction to Sorting Algorithms
Sort Stability
Selection Sort
Selection Sort Example
Selection Sort in C
Analysis of Selection Sort
Bubble Sort
Bubble Sort Example
Bubble Sort in C
Improvement in Bubble Sort
Analysis of Bubble Sort
Sorting Quiz A
Insertion Sort
Insertion Sort Example
Insertion Sort in C
Analysis of Insertion sort
Shell Sort
Shell Sort Example
Shell Sort in C
Analysis of Shell Sort
Merging two Sorted Arrays
Recursive Merge Sort
Recursive Merge Sort in C
Analysis of Merge Sort
Iterative Merge Sort
Iterative Merge Sort in C
Quick Sort
Quick Sort in C
Analysis of Quick Sort
Binary tree sort
Binary Tree Sort in C
Analysis of Binary Tree Sort
Heap Sort
Heap Sort: C implementation and Analysis
Radix Sort
Radix Sort: C implementation and Analysis
Address Calculation Sort
Address Calculation Sort in C
Analysis of Address Calculation Sort
Sorting Records
Sorting Quiz B

Module 10: Searching

Linear Search
Variations of Linear Search
Binary Search
Implementation of Binary Search
Analysis of Binary Search

Module 11: Hashing

Direct Addressing
Hashing
Collisions
Hash Functions
Open Addressing: Linear Probing
Open Addressing: Quadratic Probing
Open Addressing: Double Hashing
Deletion in Open Addressed Tables
Implementation of Open Addressing
Separate Chaining
Implementation of Separate Chaining

Module 12: Bonus

Recommended Course and offer on my other courses

How the training is organized

Master the topic

Each lesson explores a new concept through clear examples and animations, helping you to see "from the inside" how C algorithms work.

Perform tasks

After the theory you immediately apply the knowledge in practice, solving problems of increasing complexity and realizing full-fledged projects.

Work with your teacher

Our experts check your code, give you personalized advice and help you solve complex issues in a convenient Telegram chat.

Certificate of Completion

After successfully completing all training modules and practical assignments, you will receive a personalized certificate confirming your new competencies. This document will be an important addition to your resume and portfolio.

Select the appropriate tariff

Introductory

$11

Training program - 2 modules
Video lessons
Downloadable Resources
Practical assignments
Access to the course - 1 week
Without Certificate

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Basic

$67

Training Program - 11 modules
Video lessons
Downloadable Resources
Practical assignments
Assignment Checking
Chat for students and teachers
Access to the course - 2 months
Certificate

Start Now

Standard

$73

Training program - 12 modules
Video lessons
Downloadable Resources
Practical assignments
Error correction and feedback
Chat for students and instructors
Access to the course - 6 months
Certificate

Start Now

VIP

$89

Individual support of a mentor
Training program - 12 modules
Video lessons
Downloadable resources
Practical assignments
Error correction and feedback
Chat for students and teachers
Access to the course - 12 months
Certificate

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Corporate

$840

Groups of 5 to 10 people
Training program - 12 modules
Video lessons
Downloadable resources
Practical assignments
Error correction and feedback
Chat for students and instructors
Access to the course - 12 months
Certificate

Start Now

Our course experts

Mikhail Volkov

Specialist in algorithms and system programming
15 years of experience in developing highly loaded systems in C/C++.
Participated in Linux kernel development.

Algorithms are the foundation on which everything else is built. The right approach to DSA opens the door to the world of high performance solutions.

Anna Kozlova

Technical Interview Preparation Expert
Conducted 500+ mock interviews for FAANG candidates.
Former Google engineer, specializes in algorithmic training. Author of a collection of tasks for LeetCode.

In a job interview, it's important to not just know algorithms, but to be able to think like an engineer. I will teach you exactly that.

Dmitry Sokolov

Developer of embedded systems
10 years of experience with low-level optimization in C.
Participated in projects for aerospace industry. Expert in efficient data structures.

Even in the era of high-level languages, understanding how memory and algorithms work in C remains a competitive advantage.

Elena Petrova

Computer Science Instructor
PhD candidate, Associate Professor of Computer Science.
She has been teaching algorithms and data structures for 12 years.

My goal is to make complex concepts accessible. Algorithms can be fun if presented in the right way!

Testimonials from our students

Ivan K.

Junior C Developer

This course completely changed my approach to programming. Before I just wrote code, now I understand HOW it works at a low level. Optimization parses were especially useful - after the course my code became 3 times more efficient!

Anna M.

Computer Science student

Thanks to the animations and step-by-step walkthroughs, I finally understood recursion and trees! Now I can easily solve LeetCode problems that seemed like magic before. Best investment in my education in years.

Dmitry S.

Backend Developer

I took a course to prepare for an interview in Yandex. The result - an offer with a salary higher than expected! It was especially valuable that they dealt not only with algorithms, but also how to explain their decisions at the interview.

Olga P.

Embedded Systems Engineer

As an experienced engineer, I lacked system knowledge on DSA. The course gave a clear structure: from basic concepts to advanced topics. Now I confidently participate in architectural discussions.

Artem L.

Career Switcher

I switched to IT from another profession. Thanks to the projects from the course, I built up a portfolio that impressed employers. Already 2 months after graduation I got a job as a junior developer in a startup!

Questions

If I am very new to programming, can I take this course?

The course is suitable for both beginners and those who already have experience with algorithms and data structures. You only need a basic knowledge of programming in any language to start the course. The rest we will teach you on the course.

Will I be able to combine my university studies
with the online course?

Yes, you can study anytime and anywhere. All videos, assignments and materials are available 24/7.

If the course doesn't work for me, can I get my money back?

You can request a refund at any time. During the first three sessions we will refund the full amount, and from the fourth session onwards we will calculate the refund amount or help you choose another course.

How many hours per week will I need to study on
the platform?

It depends on your goals and capabilities. On average, students devote 5 to 9 hours per week to successfully master the material.