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McCombs School of Business at The University of Texas at Austin

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Data Structures and Algorithms with Python
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MIT Professional Education

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Free Data Structures Courses

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Skills: Loops, Decision Making Statements, Problem Solving Skills

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

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

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

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Divide and Conquer Algorithms
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Skills: Divide and Conquer Algorithms

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Algorithms in C
star   4.44 31.4K+ learners 3 hrs

Skills: Algorithms

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Dynamic Programing
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Skills: Loops, Decision Making Statements, Problem Solving Skills

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

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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
67%
22%
6%
1%
3%
Reviewer Profile

5.0

Country Flag India
“Introduction to Algorithms of Programming by Great Learning Academy”
The Introduction to Algorithms of Programming course by Great Learning provided a strong foundation in fundamental algorithms. The course materials were well-structured and easy to understand, and the instructors were knowledgeable and supportive. I highly recommend this course to anyone looking to gain a basic understanding of algorithms and improve their problem-solving skills.
Reviewer Profile

5.0

Country Flag India
“Introduction to Algorithms of Programming”
Overall, the course did a great job of breaking down core concepts such as sorting algorithms and Big O notation. The step-by-step explanations of algorithms like QuickSort and MergeSort were very helpful, especially with the visual aids. However, some of the deeper topics, such as dynamic programming and recursion, could benefit from additional explanation and examples to make them more accessible to beginners.
Reviewer Profile

5.0

“The Course Provided a Solid Foundation in Java Data Structures”
The explanations were clear and concise, and the examples were practical and easy to follow. The pace was well-suited for beginners, gradually building up from basic to more complex topics. The instructor's examples were relatable and helped in understanding real-world applications of data structures.
Reviewer Profile

5.0

“Easy to Understand for Most Beginners”
It was excellent. Most beginners starting out in the IT field should follow this course.
Reviewer Profile

5.0

Country Flag India
“It Helps Me Clear My Basic Concepts of Data Structures”
Thanks for providing this course. I learned the fundamentals of stacks, queues, and linked lists, which help me solve small problems.
Reviewer Profile

4.0

Country Flag India
“The Practical Session Was Very Good and Helpful”
It was helpful, and the immediate assessments were the best part.
Reviewer Profile

4.0

Country Flag Canada
“The Curriculum and the Skill of the Professor is Very Good”
This course is very good for me, and I can use it in my work and resume.
Reviewer Profile

4.0

Country Flag India
“Amazing”
Easy to enroll, and the teacher was very good.
Reviewer Profile

5.0

Country Flag India
“The Data Structures and Algorithms (DSA) Topic in C++ Involves Using C++'s Features”
Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort Merge Sort, Quick Sort, Heap Sort STL-based std::sort() (uses introsort, a combination of quicksort, heapsort, and insertion sort).
Reviewer Profile

5.0

Country Flag India
“Very Good Experience: Learned Many Things”
This course provided a comprehensive and engaging experience. The content was relevant and well-structured, with clear lectures and practical assignments. The instructor was supportive and communicated effectively. While challenging at times, the course enhanced my knowledge and skills significantly. Suggestions for improvement include more interactive elements and diverse resources.

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.