Learn Data Structures & Algorithms Online: Free Course with AI Tutor & Certificate
You will build efficient software by analyzing time complexity and implementing arrays, trees, and graphs. This 15-hour free DSA course features 12 modules and 87 video lessons. You'll complete real-world projects like designing a recommendation system, guided by an AI tutor every step of the way.
What you'll learn in this Data Structures & Algorithms course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the fundamentals of data structures and algorithms.
Analyze the space and time complexity of algorithms.
Implement various data structures such as arrays, linked lists, stacks, queues, trees, and graphs.
Apply searching and sorting techniques to efficiently manipulate data.
Solve complex problems using recursion and asymptotic analysis.
Data Structures & Algorithms course syllabus
01 Introduction To Data Structure and Algorithm
- What is Data Structure?
- Types of Data Structure
- Importance of DSA (Data Structures & Algorithms)
- Roadmap To Learn Data Structure and Algorithm
02 Basics of DS Algorithm
- What is Algorithm?
- Characteristics of An Algorithm
- Space and Time Complexity of Algorithm
- Analysis of Algorithm
- Approaches of Algo in DS
- Greedy Algorithm
03 Asymptotic Analysis and Recursion
- What is Asymptotic Notations?
- What is Big-Theta Notation?
- What is Big-Oh Notation?
- What is Big-Omega Notation?
- What is Recursion?
- DSA - Tower of Hanoi
- DSA - Fibonacci Series
- Recursion GATE Exercise 1
- Recursion GATE Exercise 2
04 Arrays - DSA
- What is Array in DS?
- Types of Array
- 2D Array
- 3D Array
- Memory Allocation of Array
05 Linked List
- What is Linked List?
- Types of Linked List
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Skip list in DS
06 Stack and Queue
- What is Stack?
- Stack - PUSH and POP Operation
- Array Implementation
- Linked List Implementation
- What is Queue?
- Types of Queues
- Array Representation
- Linked List Representation
- Circular Queue
- Deque
- Priority Queue
- Linear vs non-linear
- Array vs linked list
- Stack vs queue
- Linear vs Circular Queue
- Singly Linked List vs Doubly Linked List
07 Searching Techniques
- Linear Search
- Binary Search
- Interpolation Search
- Hash Table
- Linear Search vs Binary Search
08 Sorting Techniques - Part 1
- What is Sorting?
- Bubble Sort
- Bucket Sort
- Quick Sort
- Cocktail Sort
- Cycle Sort
- Radix Sort
- Selection Sort
- Shell Sort
09 Sorting Techniques - Part 2
- Bitonic Sort
- Comb Sort
- Counting Sort
- Heap Sort
- Insertion Sort
- Merge Sort
- Timsort
- Quick Sort vs Merge Sort
- Bubble sort vs. Selection sort
10 Tree
- What is Tree in DS?
- Binary Tree
- Binary Search Tree
- AVL Tree
- B Tree
- B+ Tree
- Spanning Tree
11 Graph
- What is Graph in DS?
- Graph Implementation
- BFS Algorithm
- DFS Algorithm
12 DSA - Exercise
- Convert Infix to Postfix using Stack
- Convert Infix to Prefix using Stack
- Prefix To Postfix Expression
- Postfix To Prefix Expression
- Implement Two Stacks in an Array
- Detect Cycle In a Directed Graph
- Subarray with Given Sum
Real-world projects you'll work on
Practice the exact kind of work Data Structures & Algorithms professionals do on the job.
Optimizing Data Storage and Retrieval: Implementing Efficient Sorting Algorithms for a Global E-commerce Platform
Enhancing User Experience: Designing and Implementing a Recommendation System for a Leading Social Media Platform
Improving Network Efficiency: Developing an Algorithm for Routing Optimization in a Global Telecommunications Company
Securing Data Integrity: Building a Cryptographic Hash Function for a Top Financial Technology Startup
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Data Structures & Algorithms course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Computer science students preparing for technical interviews at top tech companies.
- Self-taught programmers looking to build a strong foundation in computer science fundamentals.
- Working software engineers who want to write more efficient, scalable code.
- Career switchers aiming for backend development or data engineering roles in India.
Prerequisites
- Basic understanding of at least one programming language like Java, C++, or Python.
- Familiarity with basic math and logic concepts.
- No prior experience with data structures is required to start this course.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Data Structures & Algorithms course: free, structured and job-focused
You'll learn to write highly optimized code and solve complex computational problems from scratch. This free DSA course teaches you how to analyze space and time complexity using Asymptotic Analysis and Recursion. Across 12 modules, you will master essential concepts starting from the Basics of DS Algorithm. You will implement fundamental structures like Arrays - DSA, Linked List, and Stack and Queue. We also cover Tree and Graph structures, along with Searching Techniques and a two-part series on Sorting Techniques to ensure you can efficiently manipulate large datasets. If you prefer coding data structures and algorithms java, python, or C++, the logical foundations you build here apply across all languages.
Theory only goes so far, so you'll apply your skills across four hands-on projects. You will practice Optimizing Data Storage and Retrieval by implementing efficient sorting algorithms for a global e-commerce platform. Next, you'll tackle Enhancing User Experience by designing a recommendation system for a social media platform. You will also work on Improving Network Efficiency through routing optimization, and Securing Data Integrity by building a cryptographic hash function for a top financial technology startup.
LearnTube makes it easy to learn data structures and algorithms online. We curate the best YouTube video lessons and pair them with an interactive AI tutor. Right after your first lesson, "What is Data Structure?", the AI tests your knowledge with quick quizzes to ensure you actually remember the material. The learning experience is entirely free, and you can add an optional paid certificate at the end to prove your new skills to employers.
Jobs you can target after learning Data Structures & Algorithms
Data Structures & Algorithms is a gateway skill for some of the fastest-growing roles in tech.
Designs, writes, and tests code for complex software applications and systems.
Builds and maintains the server-side logic and databases that power websites.
Constructs and optimizes systems that process and store large volumes of data.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a Data Structures & Algorithms certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Data Structures & Algorithms course.
Is this data structures and algorithms course really free?
Yes. You can watch all 87 video lessons and take the AI quizzes at no cost. We only charge if you decide to purchase the optional verified certificate at the end of your training.
Will I get a DSA certification after finishing?
Yes, an optional paid certificate is available once you complete all modules and projects. You can add this credential to your resume or LinkedIn profile to show employers your technical proficiency.
How does LearnTube differ from watching regular YouTube tutorials?
We structure the best educational videos into a logical 12-module path and add an AI tutor. You get interactive quizzes after every video, ensuring you actively practice the concepts instead of just watching passively.
Do I need to install any specific software?
No special software is strictly required to watch the lessons. However, you will need a basic code editor or an online compiler to write and test your code while working on the four hands-on projects.
Which programming language does this course use?
The core concepts taught here are completely language-agnostic. You can easily apply these principles to practice data structures and algorithms python, Java, C++, or any other modern programming language you prefer to use.
How long does it take to complete the DSA full course?
Most learners finish the material in about 15 hours. Because the format is entirely self-paced, you can study on your own schedule and take as much time as you need to grasp complex topics like recursion.
Are there any specific prerequisites to enroll?
You should know the basics of programming, such as variables, loops, and functions. You do not need prior experience with asymptotic analysis or graph theory, as we cover those topics from the ground up.
Learners also explore these free courses
Pair Data Structures & Algorithms with a complementary skill to stand out even more.
Start learning Data Structures & Algorithms today, for free
87 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.
Start Learning Free