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Data Structures and Algorithms with Python
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Free Data Structures Courses

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star   4.39 199.5K+ learners 2 hrs

Skills: Arrays in C programming, Stacks, Queue, Linked List, Heaps, Hashing, Binary Search, Tree Data Structure, Binary Tree Data structure

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Data Structure & Algorithms in Java for Intermediate Level
star   4.48 17.5K+ learners 4 hrs

Skills: Data Structures, Recursion, Bubble Sort, Quick Sort, Insertion Sort, Merge Sort

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Data Structures and Algorithms with Python
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Skills: Python Fundamentals, Python Features, Python Uses, List, Tuple, Set, Dictionary, Immutable Data Structure, Differences Between Data Structures, List Vs Tuple, List Vs Set, List Vs Dictionary, Choosing Right Data Structure

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Introduction to Algorithms of Programming
star   4.51 2.8K+ learners 1.5 hrs

Skills: Problem-Solving Abilities, Logical Thinking, Algorithmic Thinking, Visual Representation, Structured Problem Solving, Programming Preparation, Communication Skills, Debugging Proficiency, Abstraction and Generalization, Systematic Approach, Analytical Ski

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Divide and Conquer Algorithms
star   4.6 3K+ learners 1 hr

Skills: Divide and Conquer Algorithms

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Algorithms in C
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Skills: Algorithms

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Skills: Data Structures, Arrays, Queue, Stack, Linked List

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Skills: Basics of Dynamic Programming

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Skills: Loops, Decision Making Statements, Problem Solving Skills

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star   4.31 11.1K+ learners 2.5 hrs

Skills: Arrays (in Hindi), LinkedList (in Hindi), Stack (in Hindi), Queue (in Hindi)

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Data Structures and Algorithms Interview Questions
star   4.41 9.2K+ learners 3 hrs

Skills: Data structures such as Stack, Queues and Linked List. Searching and Sorting Algorithms

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Data Structures in C
star   4.39 199.5K+ learners 2 hrs

Skills: Arrays in C programming, Stacks, Queue, Linked List, Heaps, Hashing, Binary Search, Tree Data Structure, Binary Tree Data structure

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Skills: Data Structures, Recursion, Bubble Sort, Quick Sort, Insertion Sort, Merge Sort

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Data Structures and Algorithms with Python
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Python Data Structures
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Skills: Python Fundamentals, Python Features, Python Uses, List, Tuple, Set, Dictionary, Immutable Data Structure, Differences Between Data Structures, List Vs Tuple, List Vs Set, List Vs Dictionary, Choosing Right Data Structure

free icon BASICS
Introduction to Algorithms of Programming
star   4.51 2.8K+ learners 1.5 hrs

Skills: Problem-Solving Abilities, Logical Thinking, Algorithmic Thinking, Visual Representation, Structured Problem Solving, Programming Preparation, Communication Skills, Debugging Proficiency, Abstraction and Generalization, Systematic Approach, Analytical Ski

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Divide and Conquer Algorithms
star   4.6 3K+ learners 1 hr

Skills: Divide and Conquer Algorithms

free icon BASICS
Algorithms in C
star   4.44 31.4K+ learners 3 hrs

Skills: Algorithms

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Java Data Structures for Beginners
star   4.57 12.5K+ learners 3 hrs

Skills: Data Structures, Arrays, Queue, Stack, Linked List

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Dynamic Programing
star   4.59 10.3K+ learners 2 hrs

Skills: Basics of Dynamic Programming

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Loops for Beginners
star   4.32 3.2K+ learners 1.5 hrs

Skills: Loops, Decision Making Statements, Problem Solving Skills

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Data Structure in Java in Hindi
star   4.31 11.1K+ learners 2.5 hrs

Skills: Arrays (in Hindi), LinkedList (in Hindi), Stack (in Hindi), Queue (in Hindi)

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Data Structures and Algorithms Interview Questions

Skills: Data structures such as Stack, Queues and Linked List. Searching and Sorting Algorithms

Learn Data Structures for Free and Earn Certificates

Data structures are essential for organizing and storing data efficiently in computers, making them a foundational element of computer science. This field intersects with various domains such as operating systems, artificial intelligence, compiler design, and graphics.

 

Key Highlights of Our Free Data Structures Courses Collection

  • Introduction to Data Structures: Learn about various data structures, including linked lists, arrays, queues, and stacks.
  • Practical Implementation: Understand how to apply these structures in coding to enhance data utilization and manage computer storage effectively.
  • Classification of Data Structures: Dive into the types of data structures, from primitive to non-primitive, and explore linear and non-linear structures along with their sub-types.

 

Skills Covered

  • Efficient Data Management: Manage data for complex applications to improve software performance and speed up data retrieval.
  • Algorithm Implementation: Use data structures to implement algorithms, improving your software's overall performance efficiently.
  • Advanced Data Operations: Master operations such as traversal, searching, sorting, insertion, merging, and deletion within various data structures.

 

Who Should Take Our Free Data Structures Courses?

This course is ideal for budding computer scientists, software developers, and anyone interested in improving their programming efficiency and understanding advanced data management techniques.

 

What Will You Learn in Free Data Structures Courses?

  • Understanding Core Concepts: Grasp the basics and advanced concepts of data structures.
  • Data Search Techniques: Learn how to search through data efficiently using advanced algorithms like linear and binary search.
  • Handling Multiple Requests: Develop skills to manage multiple user requests without overloading web servers, enhancing server performance.
  • Optimizing Processor Speed: Understand how to handle large data volumes effectively to avoid slowing down your processor.
  • Data Sorting and Organization: Learn sorting algorithms such as Quicksort and Bubble sort to organize data efficiently.

 

Enroll in the Great Learning Academy's free data structures courses today and earn a certificate in data structures to advance your programming skills and career.

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Learner reviews of the Free Data Structures Courses

Our learners share their experiences of our courses

4.42
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Reviewer Profile

5.0

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“Very informative and simplistic way of rendering information.”
Very informative and simplistic way of rendering information.
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5.0

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“Good teaching, excellent video, very easy to understand”
Good for all students who can't afford paid courses, very easy learning.
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5.0

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“Information on Stacks, Heaps, and Collision”
I really like the way the instructor taught the concepts in depth with added bonus questions for us to solve.
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5.0

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“It was an exciting and great experience”
The curriculum is perfect, and the skills and tools were used correctly. The instructor has done a great job, and the topics can be understood easily.
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4.0

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“Very great, easy, and simple to understand”
I like the way they simplified the concepts. It helps to understand things.
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5.0

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“It was great learning. I am happy to learn with Great Learning.”
I like the Linked List topic. Looking forward to learning more with Great Learning.
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5.0

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“The course was very easy to learn and follow.”
In Great Learning, I have found easy ways and tricks for coding.
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4.0

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“Data Structures in C IT Software Course”
All sessions are good, and it was very useful for me in jobs.
Reviewer Profile

5.0

Country Flag India
“Which of these traversals will output elements in sorted manner in a BST?”
Which of these traversals will output elements in sorted manner in a BST? Answer choices: Pre-order Traversal, Post-order Traversal, In-order Traversal, None of these.
Reviewer Profile

5.0

Country Flag India
“This course introduces the fundamental data structures and algorithms using the C programming language, emphasizing their implementation and manipulation.”
The course is designed to introduce students to fundamental data structures and algorithms using the C programming language. It emphasizes the implementation and manipulation of data.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

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Mr. Bharani Akella

Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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Mr. Faizan Parvez

Faizan has been working as an Instructor of Data Structure and Algorithm for the last 1 year. He has expertise in languages such as Java , JavaScript etc. He is a Subject Matter Expert in the field Computer Science and a competitive programmer. He has been working in the technical content development and is a Research Analyst .

Frequently Asked Questions

What are Data Structures and their types?

Data Structures can be considered as an efficient way of organizing and storing data. Using Data Structures, you can also process and retrieve data. Types of Data Structures are Linked List, arrays, stack, queue, etc.

Where can I learn Data Structures for free?

You can find many data structures courses on the web that are offered for free. One such platform is Great Learning Academy. It provides free Data Structures courses along with many other in-demand courses for free.

Which Data Structure is best?

Each of the Data Structures has its pros and cons. You use Data Structures based on the scenario that you want to solve. You use the best fit among the Data Structures to resolve a problem.

What is the Data Structures course?

Data Structures courses at the beginner level are meant to give you a brief introduction on what Data Structures are, their types, advantages and disadvantages of various Data Structures, and more. If it is an intermediate and advanced level course, then you will learn Data Structures in depth.

How to study Data Structures?

It would help if you first learned what Data Structures are and their types. Data Structures are an integral part of programming, and it is essential for a programmer to be familiar with them to become an efficient programmer. You can find Data Structures tutorials, courses, and live sessions on the various learning platforms.

Is Python good for Data Structures?

Yes, Python is a good language to process Data Structures. The modern programming language provides better speed, syntax, and convenience for processing these Data Structures.

Are Data Structures and Data Science the same?

Data Structures are an integral part of programming. It is an efficient approach for organizing and storing data. It is also the base for the development of various algorithms. Data Science includes preparing data for analysis. It is good to be efficient with Data Structures to become a better data scientist.