Advanced Data Structures and Algorithms in C ( DSA ) from Udemy

This "Advanced Data Structures and Algorithms In C" 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 "Advanced Data Structures and Algorithms in C" tutorial provides a comprehensive explanation of different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in C coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in C interview topics helps you to attempt tricky interview questions.

This Data Structures and Algorithms using C course covers following topics with C implementation :

Trees : AVL Tree, Threaded Binary Tree, Expression Tree, B Tree explained and implemented in C

Graphs : Adjacency matrix, Adjacency list, Path matrix, Warshall’s Algorithm, Traversal, Breadth First Search (BFS), Depth First Search (DFS), Dijkstra’s Shortest Path Algorithm, Prim's Algorithm and Kruskal's Algorithm for minimum spanning tree

Here is the course content-

AVL Tree
Threaded Binary Tree
Expression Tree
B Tree
Graph
Traversal in Graph
Shortest Paths in Graph
Minimum Spanning Tree of a Graph

The Data Structures and Algorithms with C course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic. You will see code implementation of different data structures in C and algorithms are explained in step-wise manner.

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

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

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

What's inside

Learning objectives

Understand various data structures and algorithms (dsa) through animations
Get the ability to implement different algorithms in c
Get the confidence to face programming interviews

Learn theory and implementation of avl trees, b trees, threaded binary trees and expression trees
Graph, traversal and shortest path algorithms

Understand various data structures and algorithms (dsa) through animations
Get the ability to implement different algorithms in c
Get the confidence to face programming interviews
Learn theory and implementation of avl trees, b trees, threaded binary trees and expression trees
Graph, traversal and shortest path algorithms

Syllabus

Introduction

Introduction to Advanced Data Structures and Algorithms Through C

AVL Tree

Important : Source Code Repository required for course

Representation of Graph : Adjacency List

Rotations

Insertion in AVL Tree - 1

Insertion in AVL Tree - 2

Insertion in AVL Tree - 3

Insertion in AVL Tree - 4

Examples of insertion in AVL Tree

Deletion in AVL Tree - 1

Deletion in AVL Tree - 2

Deletion in AVL Tree - 3

Examples of deletion in AVL Tree

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Threaded Binary Tree

Insertion

Adjacency List in C

Deletion

Expression Tree

Transitive closure of a directed graph and Path Matrix

Constructing and Evaluating an Expression Tree

Implementation of Expression Tree

B tree

Inorder Traversal

Searching

Implementation of Insertion - 1

Implementation of Insertion - 2

Examples of Deletion from Leaf Node

Examples of Deletion from Non-Leaf Node

Implementation of Deletion

Graph

Terminology

Cycles

Connectivity in Undirected Graph

Connectivity in Directed Graphs

Tree and Forest

Representation of Graph : Adjacency Matrix

Adjacency Matrix in C

Warshall’s Algorithm

Warshall’s Algorithm in C

Traversal in Graph

Prim's Algorithm in C

Breadth First Search

Implementation of Breadth First Search

Finding Shortest path in an unweighted graph

BFS Spanning Tree

BFS in Undirected Graphs : Finding Connected Components

Depth First Search

Implementation of Depth First Search through Stack

Recursive Implementation of Depth First Search

Classification of Edges in DFS of Directed Graph

Classification of Edges in DFS of Undirected Graph

Shortest Paths in Graph

Shortest Path Problem

Dijkstra’s Algorithm

Dijkstra’s Algorithm : Example

Dijkstra’s Algorithm in C

Minimum Spanning Tree of a Graph

Prim's Algorithm

Prim's Algorithm : Example

Kruskal's Algorithm

Kruskal's Algorithm : Example

Implementation of Kruskal's Algorithm

Kruskal's Algorithm in C

Bonus Lecture

Recommended Course and offer on my other courses

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 Advanced Data Structures and Algorithms in C ( DSA ) with these activities:

Review C Programming Fundamentals

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Reinforce your understanding of C programming fundamentals, including pointers and memory management, as this course heavily relies on C for implementation.

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

Review 'Algorithms in C'

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Use this book as a reference to see different implementations of the algorithms discussed in the course.

View Algorithms in C++ on Amazon

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Read the chapters related to graph algorithms.
Compare the implementations with the course material.

Review 'Data Structures and Algorithm Analysis in C'

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Supplement your learning with a comprehensive textbook on data structures and algorithms in C to gain a deeper understanding of the concepts.

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

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Read relevant chapters on trees and graphs.
Work through the examples provided in the book.

Four other activities

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Implement AVL Tree Operations

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Practice implementing AVL tree insertion and deletion operations to solidify your understanding of self-balancing trees.

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Implement insertion with rotations.
Implement deletion with rotations.
Test your implementation thoroughly.

Create a Blog Post on Dijkstra's Algorithm

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Explain Dijkstra's algorithm in a blog post with clear examples and visualizations to reinforce your understanding and help others learn.

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Research Dijkstra's algorithm thoroughly.
Write a clear and concise explanation.
Include examples and visualizations.
Publish your blog post online.

Build a Graph Visualization Tool

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Develop a tool to visualize graph algorithms like BFS and DFS to enhance your understanding of graph traversal techniques.

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Choose a suitable graphics library.
Implement graph data structures.
Implement visualization of BFS and DFS.
Add interactive features.

Contribute to a DSA Open Source Project

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Contribute to an open-source project related to data structures and algorithms to gain practical experience and collaborate with other developers.

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Find a suitable open-source project.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

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

Algorithm Developer

An algorithm developer focuses on creating and optimizing algorithms for various applications. Success in this role requires a deep understanding of data structures and algorithmic design. This "Advanced Data Structures and Algorithms in C" course provides a detailed look at graph and tree algorithms, crucial for algorithm development. The course content includes implementations in C. This helps an algorithm developer transition their theoretical understanding into practical code. This course provides a strong base for algorithm development by covering necessary topics.

See salaries and explore the career path for Algorithm Developer

Software Engineer

A software engineer designs, develops, and tests software applications. This role often involves working with complex algorithms and data structures. This "Advanced Data Structures and Algorithms in C" course helps build a strong foundation in these core concepts. It also shows how to implement them in C. The course's focus on graphs and tree structures, along with their associated algorithms, helps a software engineer create efficient and performant applications. The ability to implement algorithms as demonstrated in the course is a crucial skill for a software engineer.

See salaries and explore the career path for Software Engineer

Applications Developer

An applications developer creates software that end-users interact with. This role requires a strong understanding of how to structure data and implement algorithms to create efficient applications. The "Advanced Data Structures and Algorithms in C" course is useful for any applications developer. The course delves into data structure implementation in C. The course helps an applications developer implement algorithms efficiently. The detailed coverage of graph traversal and search, as well as tree structures, further supports application development.

See salaries and explore the career path for Applications Developer

Network Engineer

A network engineer designs, implements, and maintains computer networks. They require a strong understanding of algorithms and data structures, especially related to graph traversal and shortest path finding. This "Advanced Data Structures and Algorithms in C" course is useful for a network engineer. The course covers important graph algorithms, like Dijkstra's and Prim's, which are directly relevant to network routing and optimization. The course also teaches the implementation of these algorithms in C. This course helps optimize network performance.

See salaries and explore the career path for Network Engineer

Game Developer

A game developer is involved in the design, programming, and testing of video games. This role requires effective data structure and algorithm usage. The "Advanced Data Structures and Algorithms in C" course is useful for any game developer, who is expected to utilize complex algorithms. The course covers a variety of algorithms, including those related to graphs and trees, which are often used for game logic, character pathfinding, and level design. The ability to code these in C provides a solid foundation for working with performance-critical game code.

See salaries and explore the career path for Game Developer

Backend Developer

A backend developer creates and maintains the server-side logic of applications. This role involves working with databases and implementing algorithms for efficient data handling. This "Advanced Data Structures and Algorithms in C" course is useful for backend developers. The course provides a detailed look at implementing data structures in C. The course teaches skills important for a backend developer including the implementation of algorithms and data structures for optimized data handling. This course helps a backend developer to create efficient systems.

See salaries and explore the career path for Backend Developer

Systems Architect

A systems architect designs the structure and components of a computer system. This role often involves making decisions about data storage, retrieval, and processing. This "Advanced Data Structures and Algorithms in C" course helps a systems architect understand trade-offs when implementing different data structures. The course's detailed coverage of graph algorithms, such as Dijkstra's and Prim's, may be useful, especially when designing network systems. The ability to assess the impact of different algorithms gives a systems architect an advantage.

See salaries and explore the career path for Systems Architect

Robotics Engineer

A robotics engineer designs, builds, and tests robots and robotic systems. This requires a strong understanding of algorithms and data structures for tasks such as path planning and sensor data processing. This "Advanced Data Structures and Algorithms in C" course provides a foundation for the algorithmic challenges in robotics. The course provides hands-on implementation experience in C. The coverage of graph traversal, shortest path, and minimum spanning tree algorithms is particularly relevant for robotics engineers. This course may help with the design of robotic systems.

See salaries and explore the career path for Robotics Engineer

Embedded Systems Engineer

An embedded systems engineer designs software for resource-constrained devices. This role requires efficiency and optimization at the code level. The "Advanced Data Structures and Algorithms in C" course may be helpful here, as it teaches efficient implementations of data structures in C. The course's focus on algorithms, particularly graph algorithms, will give an embedded systems engineer tools to make the best design decisions. This course may help in optimizing performance in embedded systems.

See salaries and explore the career path for Embedded Systems Engineer

Research Scientist

A research scientist conducts scientific research to solve problems. This may require creating and implementing custom algorithms and data structures. The "Advanced Data Structures and Algorithms in C" course is beneficial for a research scientist whose work may require implementation of custom algorithms. The course's detailed explanation of graph and tree data structures provides a solid base for scientific research. The techniques of implementation in C presented by the course are useful to this field. This course may be useful for research scientists.

See salaries and explore the career path for Research Scientist

Machine Learning Engineer

A machine learning engineer designs, builds, and deploys machine learning models. This role demands efficient implementation of algorithms, which often involve graph-like representations of data, such as neural networks or Bayesian networks. The "Advanced Data Structures and Algorithms in C" course may be useful for a machine learning engineer. The course helps in understanding the underlying principles of algorithms. This course may be useful in implementing machine learning algorithms.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist analyzes and interprets complex data. They often use algorithms and models to extract insights and solve problems. While data science work is often done in Python or R, this "Advanced Data Structures and Algorithms in C" course helps a data scientist understand the underlying principles of these tools. Understanding graph algorithms, as taught in the course, helps in network analysis and other data-driven tasks. This course may be helpful since it lays a good foundation for algorithm design, which is used in several data science tasks.

See salaries and explore the career path for Data Scientist

Computational Biologist

A computational biologist develops and applies computational methods to solve biological problems. Working with biological data requires a deep understanding of algorithms and data structures. This "Advanced Data Structures and Algorithms in C" course may be useful for a computational biologist. The course provides foundations for working with biological data, which is often modeled with graphs and trees. The inclusion of graph search algorithms may improve their analysis. This course may be useful for those in this field.

See salaries and explore the career path for Computational Biologist

Quantitative Analyst

A quantitative analyst develops and implements mathematical and statistical models for financial markets. This role requires advanced understanding of algorithms and optimization techniques, often involving graph and tree structures. While many tools in this field are implemented in Python, the "Advanced Data Structures and Algorithms in C" course is valuable to a quantitative analyst since it gives a strong base for understanding algorithmic design. The detailed discussion of graph algorithms, like Dijkstra's, may improve how they model financial systems. This course may be useful in this field.

See salaries and explore the career path for Quantitative Analyst

Database Administrator

A database administrator manages and maintains databases. Understanding how data is organized and accessed is critical to the role. This "Advanced Data Structures and Algorithms in C" course helps a database administrator understand the internal workings of different data structures. The course covers important structures like B-Trees. The course may be useful here. A database administrator can use their experience with graph and tree traversal to improve database performance.

See salaries and explore the career path for Database Administrator

Advanced Data Structures and Algorithms in C ( DSA )

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