Mastering Advanced Data Structures and Algorithms
This course is part of A Practical Guide to Data Structures and Algorithms.
Course Cost
₹ 16,172
Intermediate
Skill Level
5 Weeks
Self-paced lessons
This comprehensive course covers advanced data structures and algorithms, focusing on graph algorithms, dynamic programming, and pattern matching. Students implement various algorithms in Java, from text processing techniques like Boyer-Moore and KMP to graph traversal methods including Depth-First and Breadth-First Search. The course explores Dijkstra's shortest path algorithm, minimum spanning trees using Prim's and Kruskal's algorithms, and dynamic programming techniques. With interactive visualizations and practical implementations, students gain deep understanding of algorithm efficiency and real-world applications.
What you'll learn
Implement advanced pattern matching algorithms including Boyer-Moore and KMP
Master graph traversal techniques using Depth-First and Breadth-First Search
Apply Dijkstra's algorithm for finding shortest paths in weighted graphs
Develop solutions using dynamic programming techniques
Implement minimum spanning tree algorithms like Prim's and Kruskal's
Analyze algorithm time complexity and performance
Use Java to create efficient implementations of advanced data structures
Optimize solutions for real-world programming challenges
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 5 modules in this course
This advanced course explores sophisticated algorithms and data structures, focusing on practical implementation in Java. The curriculum covers four main areas: pattern matching algorithms for text processing, graph algorithms including traversal and shortest path finding, minimum spanning tree algorithms, and dynamic programming techniques. Students learn through hands-on coding exercises and algorithm visualizations, gaining deep understanding of algorithm efficiency and real-world applications. Special emphasis is placed on time complexity analysis and optimal solution design.
Introduction and Review
Module 1
Pattern Matching Algorithms
Module 2
Introduction to Graph Algorithms
Module 3
Minimum Spanning Trees
Module 4
Dynamic Programming
Module 5
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: A Practical Guide to Data Structures and Algorithms
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




