Data Structures and Algorithms In C ( DSA ) from Udemy

This "Data Structures and Algorithms In C" (DSA) course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

Instructor is author of popular books "C In Depth" and "Data Structures Through C In Depth" helped 250,000+ students & professionals.

This "Data Structures and Algorithms in C" (DSA) course will help you develop a strong background in Data Structures and Algorithms (DSA). The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This Data Structures and Algorithms in C (DSA) course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching, hashing. Various sorting algorithms with implementation and analysis are included in this tutorial. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.

This Data Structures and Algorithms in C (DSA) course covers following topics with C language implementation :

Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Recursion, Heap, Searching, Hashing

Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Here is the course content-

Algorithm Analysis
Linked List
Stack and Queue
Recursion
Binary Tree
Binary Search Tree
Heap
Sorting
Searching
Hashing

Throughout this Data Structures and Algorithms in C (DSA) course, a step by step approach is followed to make you understand different Data Structures and Algorithms (DSA). You will see code implementation of different data structures in C language and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in C (DSA) coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in C (DSA) MCQ / interview questions topics helps you to attempt tricky dsa MCQ / interview questions.

In this Data Structures and Algorithms In C (DSA) course, C language programs are used for implementing various concepts, but you can easily code them in any other programming languages like C++, C#, Java, Python.

This Learn Data Structures and Algorithms In C (DSA) online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In C (DSA) books / notes / pdf and also to students learning from referred book / notes / pdf.

This DSA Self Paced course helps students to have great foundation to solve DSA in C problems. This will help them to solve LeetCode MCQ / problems and in google faang data structures and algorithms in C (DSA) MCQ / interview questions.

What students are saying about this course-

"Till now I felt Data Structures is a complex subject. But this course is helping to understand how simple they are."

"This is exactly how I hoped to learn data structure and algorithm, PLUS, it's using C. "

"Instructor is teaching in very well and efficient manner with a good pace ,clears every doubts and teaches concepts deeply."

"Great class, explains topics very well, better than any college class I ever took."

"yes this course has helped me a lot in discovering new topics and the example programs are also quite helpful."

"I really appreciate the way the steps are broken down incrementally."

"Deepali does a great job in explaining all the concept and the course is very well organized. First the concept is explained on paper and then there is a walk through of the code, and then execution of the code. I have learnt a great deal from this course."

"I am taking notes and writing code side by side watching videos which makes it beneficial to understand the code and easier to grasp the concept of the topic rather than just copying the source code. Thank you Deepali Mam for not giving the source it was better to write the code by myself. The videos are informative, detailed and right on point with step by step code programs and I feel learned a lot taking your course then the class which I took at University. This course made my base of data structures in C pretty strong thank you for that."

"This is an awesome course. If you need to understand then try to write every code yourself then try to analyze it. that's how you can gain confidence."

"I'm re-learning something what I am learn years ago, and this course is perfect for my need."

"Its quite helpful, it nicely supplements what you have studied in the book."

"Excellent presentation and content. Easily comprehensible. Since Data Structures and Algorithms are heart of computer science will give a 5 star for this kind of knowledge resource."

"It is one of the best courses that I have ever taken in Data Structures and C."

"Good foundation course covering the fundamentals of data structures in C."

"It's definitely a good course for beginners who have basic knowledge in C and want to learn Data Structures and Algorithms. Really good explanation by the instructor with experience of even writing a book on Data structures."

"Till now its above expectations.Mam I am also following your both book "C in Depth" and "Data Structure Using C"."

"Great in depth explanations of the data structures and algorithms covered."

"good and perfect teaching for basic levels for beginners in data structures."

"Very good clarification and reference for common data structures and algorithms."

"The Course material was very good and the concepts and the logical reasons behind the algorithm is explained."

"It was a great experience"

So what are you waiting for, click on Buy button to enroll now and start learning.

What's inside

Learning objectives

Understand the details of data structures and algorithms (dsa) through animations
Learn to write programs for different data structures and algorithms in c language
Get the confidence to face dsa programming interview questions

Over 100 data structures and algorithms (dsa) mcq / interview questions
Learn how to analyse algorithms
Get the ability to write and trace recursive algorithms

Understand the details of data structures and algorithms (dsa) through animations
Learn to write programs for different data structures and algorithms in c language
Get the confidence to face dsa programming interview questions
Over 100 data structures and algorithms (dsa) mcq / interview questions
Learn how to analyse algorithms
Get the ability to write and trace recursive algorithms

Syllabus

About course

Introduction to Data Structures and Algorithms Through C In Depth

Introduction to Data structures and Algorithms

Important : Source Code Repository required for course

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive explanation of fundamental data structures, including linked lists, stacks, queues, and binary search trees, which are essential for building robust software applications

Includes implementation and analysis of various sorting algorithms, such as selection, bubble, insertion, and merge sort, which are crucial for optimizing code performance and efficiency

Explores the concept of recursion with multiple examples, which is vital for designing and understanding certain algorithms and solving complex problems in a more elegant and concise manner

Uses C language programs for implementing various concepts, but the programs can be easily coded in other programming languages like C++, C#, Java, and Python

Uses animations to help visualize the concepts, which can be particularly beneficial for learners who struggle with abstract ideas and prefer a more visual learning approach

Includes quizzes after each topic to test newly acquired knowledge, which can help learners reinforce their understanding and identify areas where they need further review

Reviews summary

In-depth dsa fundamentals in c

According to learners, this course provides a strong foundation in Data Structures and Algorithms using C. Students consistently praise the instructor's clear teaching style and the step-by-step approach, finding complex topics more understandable. The course is viewed as comprehensive, covering a wide array of essential DSA concepts with helpful examples. Many graduates highlight its value for interview preparation and building confidence. While focusing on C requires basic familiarity, this is often seen as a positive for developing a deep understanding. Overall, reviewers describe it as a valuable and effective learning resource.

Uses C for examples, which builds fundamental understanding.

"This is exactly how I hoped to learn data structure and algorithm, PLUS, it's using C. "

"It's definitely a good course for beginners who have basic knowledge in C and want to learn Data Structures and Algorithms."

"In this Data Structures and Algorithms In C (DSA) course, C language programs are used for implementing various concepts..."

Learners found the course clearer than university classes.

"Great class, explains topics very well, better than any college class I ever took."

"This course made my base of data structures in C pretty strong thank you for that."

"I have learnt a great deal from this course."

Emphasizes writing code manually for better understanding.

"I am taking notes and writing code side by side watching videos which makes it beneficial to understand the code and easier to grasp the concept... Thank you Deepali Mam for not giving the source it was better to write the code by myself."

"If you need to understand then try to write every code yourself then try to analyze it. that's how you can gain confidence."

"yes this course has helped me a lot in discovering new topics and the example programs are also quite helpful."

Covers a wide range of essential DSA topics thoroughly.

"Good foundation course covering the fundamentals of data structures in C."

"Great in depth explanations of the data structures and algorithms covered."

"Very good clarification and reference for common data structures and algorithms."

"The Course material was very good and the concepts and the logical reasons behind the algorithm is explained."

Instructor explains concepts clearly step-by-step.

"Instructor is teaching in very well and efficient manner with a good pace ,clears every doubts and teaches concepts deeply."

"Deepali does a great job in explaining all the concept and the course is very well organized. First the concept is explained on paper and then there is a walk through of the code..."

"I really appreciate the way the steps are broken down incrementally."

Builds a strong base for solving coding interview questions.

"Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in C (DSA) coding interviews questions and work on projects."

"This will help them to solve LeetCode MCQ / problems and in google faang data structures and algorithms in C (DSA) MCQ / interview questions."

"Good foundation course covering the fundamentals of data structures in C."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Structures and Algorithms In C ( DSA ) with these activities:

Review C Fundamentals

Show steps

Strengthen your understanding of C programming fundamentals to better grasp the C implementations of data structures and algorithms.

Show steps

Review basic C syntax and data types.
Practice writing simple C programs.
Study pointers and memory management in C.

Read 'Data Structures and Algorithm Analysis in C'

Show steps

Supplement the course material with a widely-used textbook that provides a more in-depth analysis of data structures and algorithms in C.

View Data Structures and Algorithm Analysis in C++,... on Amazon

Show steps

Obtain a copy of the book.
Read the chapters relevant to the course topics.
Work through the examples and exercises.

LeetCode Data Structures Problems

Show steps

Reinforce your understanding of data structures by solving LeetCode problems related to linked lists, stacks, queues, trees, and hash tables.

Show steps

Create a LeetCode account.
Filter problems by data structure topics.
Solve at least 3 problems per week.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Tutor other students

Show steps

Reinforce your understanding of data structures and algorithms by helping other students who are struggling with the material.

Show steps

Offer assistance to classmates or online forum users.
Explain concepts in your own words.
Answer questions and provide examples.

Create a Data Structure Visualization

Show steps

Solidify your understanding of a specific data structure by creating a visual representation of its operations and behavior.

Show steps

Choose a data structure (e.g., linked list, binary tree).
Create a diagram or animation illustrating its operations.
Share your visualization with peers for feedback.

Implement a Simple Search Engine

Show steps

Apply your knowledge of data structures and algorithms to build a practical project that involves indexing, searching, and ranking documents.

Show steps

Design the data structures for indexing documents.
Implement the search algorithm.
Test and refine the search engine.

Read 'The Algorithm Design Manual'

Show steps

Expand your knowledge of algorithm design principles with a practical guide that complements the course material.

View The Algorithm Design Manual (Texts in Computer... on Amazon

Show steps

Obtain a copy of the book.
Focus on chapters relevant to course topics.
Review the case studies and examples.

Career center

Learners who complete Data Structures and Algorithms In C ( DSA ) will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and maintains software applications. This role requires a strong understanding of data structures and algorithms, which are thoroughly covered in this course. The course uses C language implementations, but these principles translate to other programming languages. This course will be useful to solve problems, develop efficient code, and participate in technical interviews. The specific examples and step-by-step approach in this course help build a strong foundation, and help prepare students to contribute to projects.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer creates and refines algorithms to solve specific computational problems. This role directly uses the concepts found in this course, such as algorithm analysis, time complexity, and specific data structures like linked lists, stacks, queues, and trees. The course explains these concepts with animations and provides a step-by-step approach, which helps an algorithm developer understand the 'why' behind each algorithm. The study of recursion, sorting methods, and searching within the course is particularly relevant. This course emphasizes practical application, which should be valuable for this role.

See salaries and explore the career path for Algorithm Developer

Game Developer

A game developer creates interactive experiences, often involving complex systems and high performance requirements. The topics covered in this course, including data structures and algorithms, are essential for efficiently managing game data. The course's focus on C language implementations is particularly relevant, because many game engines are built on C or C++. The concepts of stacks, queues, trees, and sorting are also applicable to game development. This course should help a game developer to build more performant and scalable game systems.

See salaries and explore the career path for Game Developer

Embedded Systems Engineer

An embedded systems engineer designs, develops, and tests software for embedded devices. These roles often require a strong understanding of data structures and algorithms, as these systems often have resource constraints that necessitate efficient implementations. The course's focus on C language programming is directly relevant to embedded systems development, as C is a primary language in this area. The detailed explanations of concepts like linked lists, stacks, queues, trees, and sorting algorithms, as presented in this course, will help an embedded systems engineer develop robust and efficient software.

See salaries and explore the career path for Embedded Systems Engineer

Mobile Application Developer

A mobile application developer creates software for mobile devices. Understanding data structures and algorithms helps build efficient and performant mobile apps. Mobile apps require efficient processing of data, and the study of linked lists, stacks, queues, and trees, as covered in the course, can enable mobile developers to manage data effectively. Sorting and searching algorithms are also vital for things like search bars and filtering. This course helps a mobile application developer make design decisions when handling data.

See salaries and explore the career path for Mobile Application Developer

Computer Science Researcher

A computer science researcher investigates new concepts in computer science, often publishing in academic journals. This role typically requires an advanced degree. Understanding data structures and algorithms, as covered in this course, is crucial for conducting research into new and more efficient computational methods. The course's thorough explanations and extensive coverage of foundational topics like algorithm analysis, time complexity, and various data structures will be particularly valuable. The study of recursion is also key for theoretical explorations. This course helps computer science researchers develop a deeper understanding of algorithmic principles.

See salaries and explore the career path for Computer Science Researcher

Data Scientist

A data scientist analyzes complex data sets to extract meaningful insights. While the day to day work of a data scientist may not be exclusively implementing algorithms, the understanding of data structures and algorithmic efficiency taught in this course will greatly aid data scientists in problem analysis and creating performant implementations. This course covers practical data structures like linked lists, stacks, queues, and trees, plus their corresponding algorithms, which are all relevant when dealing with diverse datasets. This course helps data scientists make better decisions about which techniques are best suited for particular analytical tasks.

See salaries and explore the career path for Data Scientist

Systems Analyst

A systems analyst evaluates and improves computer systems. They must thoroughly understand how software works to make informed recommendations. While they may not be coding themselves, familiarity with data structures and algorithms will allow them to better propose and evaluate technical solutions. Topics such as Big O notation and algorithm analysis will be especially useful to systems analysts, as this allows them to talk about implementation tradeoffs. The course's comprehensive coverage will help them develop a strong understanding of these topics.

See salaries and explore the career path for Systems Analyst

Machine Learning Engineer

A machine learning engineer builds and maintains machine learning systems. While it does not involve typical algorithm design, familiarity with data structures and algorithms can help achieve implementations with better performance. The course helps machine learning engineers understand the underlying complexities of data handling, making them more effective in developing models. The study of searching and sorting algorithms in this course may be useful in implementing efficient data retrieval and manipulation pipelines.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

A web developer creates and maintains websites and web applications. While they do not typically implement custom algorithms, a familiarity with data structures and algorithms can be helpful in understanding back end systems, and improving design decisions. The course's explanation of data management techniques and algorithm analysis may be helpful. This course may be useful for a web developer to understand the systems that power their front end work.

See salaries and explore the career path for Web Developer

DevOps Engineer

A DevOps engineer manages the infrastructure and operations of software systems, and must understand the complexities of software architecture. The course's comprehensive coverage of data structures and algorithms may be helpful in understanding the demands various features place on an overall system. DevOps engineers may need to troubleshoot performance bottlenecks, which are often related to algorithmic complexity. This course may be useful for a DevOps engineer who wants to understand the systems that his department manages.

See salaries and explore the career path for DevOps Engineer

Database Administrator

A database administrator manages and maintains the performance, security, and integrity of databases. While this role is not directly related to algorithms, the understanding of data structures such as trees taught in this course may be useful in understanding how data is organized and retrieved. The course's discussion of searching and hashing, as well as data organization techniques, can also be relevant to database indexing and query optimization. This course may be helpful for a database administrator to understand database architecture at a deeper level.

See salaries and explore the career path for Database Administrator

Quality Assurance Engineer

A quality assurance engineer tests software to ensure it meets quality standards. While quality assurance is not directly about implementing algorithms, an understanding of data structures and algorithms could help in preparing edge cases and test sets. The course's focus on diverse data structures and algorithms may provide a better understanding of system behavior under different scenarios. This course may be useful for quality assurance engineers to test code more comprehensively.

See salaries and explore the career path for Quality Assurance Engineer

Data Analyst

A data analyst examines large datasets to identify trends and insights. Although they are not usually implementing algorithms directly, familiarity with data structures will allow them to understand bottlenecks in data processing, and may even be helpful in choosing which tools are best for different kinds of analysis. The course's examples of algorithm analysis may also be useful. This course may be useful for a data analyst to have a more complete understanding of their tooling.

See salaries and explore the career path for Data Analyst

Technical Writer

A technical writer creates documentation for software and other technical products. While this role is not about coding, understanding the underlying principles of data structures and algorithms allows a technical writer to explain these concepts more accurately and effectively. The detailed information in the course on how different data structures such as linked lists, stacks, and queues work may be particularly helpful to technical writers who may need to create documentation on these systems. This course may be helpful for a technical writer that needs to understand data structures in depth.

See salaries and explore the career path for Technical Writer

Data Structures and Algorithms In C ( DSA )

Here's a deal for you

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

In-depth dsa fundamentals in c

Activities

Career center

Reading list

Share

Similar courses