logo
RUB
GBP
USD
AUD
CAD
EUR
BDT
SGD
RUB
KWD
KRW
CNY
AED
SAR
logo
logo
Discounted Courses
Popular Courses
Top Courses
New Courses
Free Courses

Course Features

Price

Original price was: ₽51,715.63.Current price is: ₽1,582.08.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

6 hours, 45 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

  • Share
Data structures algorithms visual showing trees, graphs, stacks, queues, and sorting algorithms with animated-style diagrams

Overview

Data Structures Algorithms form the backbone of efficient software development and problem-solving in computer science. This masterclass is designed to help learners understand how data is organised, processed, and optimised using clear visuals and intuitive explanations. Rather than relying on abstract theory alone, the course focuses on conceptual clarity and visual learning to make complex ideas easier to grasp.

You will begin by exploring fundamental linear data structures such as queues, stacks, and linked lists, learning how they operate and where they are used in real-world systems. The course then moves into more advanced structures, including trees, heaps, and graphs, explaining how data relationships are modelled and traversed efficiently. Concepts like graph traversal, spanning trees, and priority-based processing are presented in a structured, learner-friendly way.

A key strength of this course is its emphasis on algorithms. Searching and sorting techniques are explained step by step, with visual demonstrations that show how algorithms behave internally. From basic linear and binary search to advanced sorting methods such as merge sort, quick sort, heap sort, and radix sort, you will understand not only how algorithms work, but why certain approaches are more efficient than others.

This course is ideal for building strong analytical and problem-solving skills. By visualising data flow, comparisons, and traversal paths, learners develop deeper intuition and confidence when approaching algorithmic challenges. The knowledge gained here supports academic study, technical interviews, and practical programming tasks across a wide range of computing fields.

At the end of the course, learners will receive a free course completion certificate. For those who wish to strengthen their academic or professional profile, multiple premium certificate and transcript options are also available for purchase. Students also benefit from 5-star rated learner support available 24/7 via email, ensuring guidance and assistance whenever needed.

This course is suitable for computer science students, programming beginners, and learners preparing for technical interviews. It is also ideal for self-learners, diploma or degree aspirants, and professionals who want to strengthen their understanding of data structures and algorithms using clear, visual explanations.
Learners should have basic computer literacy and a general understanding of programming concepts. Familiarity with any programming language is helpful but not essential. Logical thinking and a willingness to practise problem-solving will support successful learning throughout the course.
Completing this course supports progression into software development, data engineering, computer science degrees, and algorithm-focused technical roles. It also provides strong preparation for coding interviews, advanced programming courses, and specialised areas such as data science and systems design.

Who is this course for?

Data Structures Algorithms form the backbone of efficient software development and problem-solving in computer science. This masterclass is designed to help learners understand how data is organised, processed, and optimised using clear visuals and intuitive explanations. Rather than relying on abstract theory alone, the course focuses on conceptual clarity and visual learning to make complex ideas easier to grasp.

You will begin by exploring fundamental linear data structures such as queues, stacks, and linked lists, learning how they operate and where they are used in real-world systems. The course then moves into more advanced structures, including trees, heaps, and graphs, explaining how data relationships are modelled and traversed efficiently. Concepts like graph traversal, spanning trees, and priority-based processing are presented in a structured, learner-friendly way.

A key strength of this course is its emphasis on algorithms. Searching and sorting techniques are explained step by step, with visual demonstrations that show how algorithms behave internally. From basic linear and binary search to advanced sorting methods such as merge sort, quick sort, heap sort, and radix sort, you will understand not only how algorithms work, but why certain approaches are more efficient than others.

This course is ideal for building strong analytical and problem-solving skills. By visualising data flow, comparisons, and traversal paths, learners develop deeper intuition and confidence when approaching algorithmic challenges. The knowledge gained here supports academic study, technical interviews, and practical programming tasks across a wide range of computing fields.

At the end of the course, learners will receive a free course completion certificate. For those who wish to strengthen their academic or professional profile, multiple premium certificate and transcript options are also available for purchase. Students also benefit from 5-star rated learner support available 24/7 via email, ensuring guidance and assistance whenever needed.

This course is suitable for computer science students, programming beginners, and learners preparing for technical interviews. It is also ideal for self-learners, diploma or degree aspirants, and professionals who want to strengthen their understanding of data structures and algorithms using clear, visual explanations.
Learners should have basic computer literacy and a general understanding of programming concepts. Familiarity with any programming language is helpful but not essential. Logical thinking and a willingness to practise problem-solving will support successful learning throughout the course.
Completing this course supports progression into software development, data engineering, computer science degrees, and algorithm-focused technical roles. It also provides strong preparation for coding interviews, advanced programming courses, and specialised areas such as data science and systems design.

Requirements

Data Structures Algorithms form the backbone of efficient software development and problem-solving in computer science. This masterclass is designed to help learners understand how data is organised, processed, and optimised using clear visuals and intuitive explanations. Rather than relying on abstract theory alone, the course focuses on conceptual clarity and visual learning to make complex ideas easier to grasp.

You will begin by exploring fundamental linear data structures such as queues, stacks, and linked lists, learning how they operate and where they are used in real-world systems. The course then moves into more advanced structures, including trees, heaps, and graphs, explaining how data relationships are modelled and traversed efficiently. Concepts like graph traversal, spanning trees, and priority-based processing are presented in a structured, learner-friendly way.

A key strength of this course is its emphasis on algorithms. Searching and sorting techniques are explained step by step, with visual demonstrations that show how algorithms behave internally. From basic linear and binary search to advanced sorting methods such as merge sort, quick sort, heap sort, and radix sort, you will understand not only how algorithms work, but why certain approaches are more efficient than others.

This course is ideal for building strong analytical and problem-solving skills. By visualising data flow, comparisons, and traversal paths, learners develop deeper intuition and confidence when approaching algorithmic challenges. The knowledge gained here supports academic study, technical interviews, and practical programming tasks across a wide range of computing fields.

At the end of the course, learners will receive a free course completion certificate. For those who wish to strengthen their academic or professional profile, multiple premium certificate and transcript options are also available for purchase. Students also benefit from 5-star rated learner support available 24/7 via email, ensuring guidance and assistance whenever needed.

This course is suitable for computer science students, programming beginners, and learners preparing for technical interviews. It is also ideal for self-learners, diploma or degree aspirants, and professionals who want to strengthen their understanding of data structures and algorithms using clear, visual explanations.
Learners should have basic computer literacy and a general understanding of programming concepts. Familiarity with any programming language is helpful but not essential. Logical thinking and a willingness to practise problem-solving will support successful learning throughout the course.
Completing this course supports progression into software development, data engineering, computer science degrees, and algorithm-focused technical roles. It also provides strong preparation for coding interviews, advanced programming courses, and specialised areas such as data science and systems design.

Career path

Data Structures Algorithms form the backbone of efficient software development and problem-solving in computer science. This masterclass is designed to help learners understand how data is organised, processed, and optimised using clear visuals and intuitive explanations. Rather than relying on abstract theory alone, the course focuses on conceptual clarity and visual learning to make complex ideas easier to grasp.

You will begin by exploring fundamental linear data structures such as queues, stacks, and linked lists, learning how they operate and where they are used in real-world systems. The course then moves into more advanced structures, including trees, heaps, and graphs, explaining how data relationships are modelled and traversed efficiently. Concepts like graph traversal, spanning trees, and priority-based processing are presented in a structured, learner-friendly way.

A key strength of this course is its emphasis on algorithms. Searching and sorting techniques are explained step by step, with visual demonstrations that show how algorithms behave internally. From basic linear and binary search to advanced sorting methods such as merge sort, quick sort, heap sort, and radix sort, you will understand not only how algorithms work, but why certain approaches are more efficient than others.

This course is ideal for building strong analytical and problem-solving skills. By visualising data flow, comparisons, and traversal paths, learners develop deeper intuition and confidence when approaching algorithmic challenges. The knowledge gained here supports academic study, technical interviews, and practical programming tasks across a wide range of computing fields.

At the end of the course, learners will receive a free course completion certificate. For those who wish to strengthen their academic or professional profile, multiple premium certificate and transcript options are also available for purchase. Students also benefit from 5-star rated learner support available 24/7 via email, ensuring guidance and assistance whenever needed.

This course is suitable for computer science students, programming beginners, and learners preparing for technical interviews. It is also ideal for self-learners, diploma or degree aspirants, and professionals who want to strengthen their understanding of data structures and algorithms using clear, visual explanations.
Learners should have basic computer literacy and a general understanding of programming concepts. Familiarity with any programming language is helpful but not essential. Logical thinking and a willingness to practise problem-solving will support successful learning throughout the course.
Completing this course supports progression into software development, data engineering, computer science degrees, and algorithm-focused technical roles. It also provides strong preparation for coding interviews, advanced programming courses, and specialised areas such as data science and systems design.

    • Understanding Queues: Concepts & Real-World Examples 00:10:00
    • Types of Queues – Simple, Circular, Priority & Deque 00:10:00
    • Introduction to Stacks & Core Operations (Push, Pop, Peek) 00:10:00
    • Linked List Essentials – Types, Insertion & Deletion Operations 00:10:00
    • Introduction to Graphs – Concepts & Types 00:10:00
    • Graph Representation – Adjacency Matrix & List 00:10:00
    • Understanding Spanning Trees & Minimum Spanning Trees 00:10:00
    • Kruskal’s Algorithm – Building a Minimum Spanning Tree 00:10:00
    • Prim’s Algorithm – Finding the Minimum Spanning Tree 00:10:00
    • Graph Traversal Techniques 00:10:00
    • Introduction to Trees – Structure & Terminology 00:10:00
    • Tree Traversals – Preorder, Inorder & Postorder 00:10:00
    • Binary Trees – Concept & Implementation 00:10:00
    • Binary Search Trees (BST) – Operations & Applications 00:10:00
    • Introduction to Heaps & Their Applications 00:10:00
    • Array Representation of Heaps 00:10:00
    • Creating Heaps – Top-Down & Bottom-Up Methods 00:10:00
    • Heap Insertion & Deletion Operations 00:10:00
    • Binary Search – Concept & Working Principle 00:10:00
    • Binary Search – Example & Implementation 00:10:00
    • Linear Search – Concept & Working Principle 00:10:00
    • Linear Search – Example & Implementation 00:10:00
    • Merge Sort (Part 1) – Introduction & Divide-and-Conquer Concept 00:10:00
    • Merge Sort (Part 2) – Example & Implementation 00:10:00
    • Quick Sort – Concept, Example & Implementation 00:10:00
    • Heap Sort – Concept, Example & Implementation 00:10:00
    • Bubble Sort – Concept & Example 00:10:00
    • Selection Sort – Concept & Example 00:10:00
    • Insertion Sort – Concept & Implementation 00:10:00
    • Counting Sort – Introduction 00:10:00
    • Counting Sort – Example & Implementation 00:10:00
    • Radix Sort – Introduction 00:10:00
    • Radix Sort – Example & Implementation 00:10:00
    • Bucket Sort – Concept, Example & Implementation 00:10:00
    • Exam of Data Structures & Algorithms Masterclass: Learn with Visuals and Animations 00:50:00
    • Premium Certificate 00:15:00
certificate-new

No Reviews found for this course.

Yes, our premium certificate and transcript are widely recognized and accepted by embassies worldwide, particularly by the UK embassy. This adds credibility to your qualification and enhances its value for professional and academic purposes.

Yes, this course is designed for learners of all levels, including beginners. The content is structured to provide step-by-step guidance, ensuring that even those with no prior experience can follow along and gain valuable knowledge.

Yes, professionals will also benefit from this course. It covers advanced concepts, practical applications, and industry insights that can help enhance existing skills and knowledge. Whether you are looking to refine your expertise or expand your qualifications, this course provides valuable learning.

No, you have lifetime access to the course. Once enrolled, you can revisit the materials at any time as long as the course remains available. Additionally, we regularly update our content to ensure it stays relevant and up to date.

I trust you’re in good health. Your free certificate can be located in the Achievement section. The option to purchase a CPD certificate is available but entirely optional, and you may choose to skip it. Please be aware that it’s crucial to click the “Complete” button to ensure the certificate is generated, as this process is entirely automated.

Yes, the course includes both assessments and assignments. Your final marks will be determined by a combination of 20% from assignments and 80% from assessments. These evaluations are designed to test your understanding and ensure you have grasped the key concepts effectively.

We are a recognized course provider with CPD, UKRLP, and AOHT membership. The logos of these accreditation bodies will be featured on your premium certificate and transcript, ensuring credibility and professional recognition.

Yes, you will receive a free digital certificate automatically once you complete the course. If you would like a premium CPD-accredited certificate, either in digital or physical format, you can upgrade for a small fee.

View all

Course Features

Price

Original price was: ₽51,715.63.Current price is: ₽1,582.08.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

6 hours, 45 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

  • Share

Related Courses

Related Courses

Skills
Verify Your Certificate
tp-logo
Review on Trustpilot
Useful Links
Logo-White

With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn are applicable to your career aspirations, whether that’s in management, administration or beyond.

Facebook Twitter Linkedin Pinterest Instagram
© Course Line 2025

Share This Course