Master Data Structures and Algorithms: Build a Strong Foundation for Problem Solving
Learn the Fundamentals of Data Structures and Algorithms with Stacks, Arrays, Linked Lists, Queues, Trees, and Graphs
30 Hours
10 Lectures
About Course
The Basic Data Structures and Algorithms (DSA) Course is designed to help you understand and implement the core concepts of data structures and algorithms. This course covers essential topics like stacks, arrays, linked lists, queues, trees, and graphs, providing you with the knowledge and skills to solve complex programming problems efficiently. Whether you’re a beginner starting your coding journey or an intermediate programmer looking to solidify your understanding of DSA, this course will guide you through the basics and equip you with the tools needed to tackle real-world challenges.
Why You Should Learn This Course
Fundamental Knowledge: Understanding data structures and algorithms is crucial for efficient problem-solving and coding interviews.
Enhanced Problem-Solving Skills: Learn to choose the right data structure and algorithm to solve a variety of computational problems effectively.
Performance Optimization: Gain the ability to write optimized code that performs well even with large data sets.
Career Growth: Strong DSA skills are highly valued in the tech industry, making you a competitive candidate for software development roles.
Hands-On Practice: Work on a variety of coding problems and exercises to solidify your understanding and improve your programming skills.
Requirements
- Basic understanding of any programming language (Python, Java, C++, etc.).
- A computer with internet access and a code editor or IDE (e.g., Visual Studio Code, Eclipse).
- Interest in problem-solving and logical thinking.
- No prior knowledge of data structures and algorithms is required!
Module 1
Introduction to Data Structures and Algorithms
Module 2
Arrays: Basics, Operations, and Applications
Module 3
Strings: Basics, Operations, and Applications
Module 4
Linked Lists: Single, Double, and Circular Linked Lists
Module 5
Stacks: Implementation and Use Cases
Module 6
Queues: Circular Queue, Priority Queue, and Deque
Module 7
Sorting and Searching Algorithms
Module 8
Trees: Binary Trees, Binary Search Trees, and Tree Traversals
Module 9
Graphs: Representation, BFS, DFS, and Shortest Path Algorithms
Bonus Module
Career Guidance and Coding Interview Preparation
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