This workshop helps application developers explore DSA through real-world problems, connecting data structures to business challenges and fostering a problem-solving mindset for practical solutions.
Flexible discount system is not available
Note: The lecture orientation and topics may be adjusted based on learning progression.
Data Structures and Algorithms (DSA) aren't just for coding interviews, they're the backbone of high-performance applications! Are you ready to level up your problem-solving skills and write code that's not only functional but optimized, scalable, and efficient?
This 12-day hands-on workshop is your gateway to mastering DSA through real-world problems. Instead of just memorizing algorithms, you'll learn how top developers use arrays, hash tables, graphs, recursion, and dynamic programming to solve business-critical challenges. Whether you're new to DSA or looking to refine your understanding, this workshop will transform the way you approach complex problems making you a better, faster, and more strategic developer.
But this is the begining of your problem solving journey!
From database indexing to recommendation engines, every high-performance system relies on efficient algorithms. Understanding these concepts will help you design better applications, troubleshoot performance issues, and stand out in interviews.
Unlike traditional DSA courses, this workshop doesn't just teach theory it connects every data structure and algorithm to real-world business problems, ensuring you understand why and when to use them.
Mastering DSA isn't just for competitive programming it's a game-changer for building enterprise-grade applications. With these skills, you'll write cleaner, faster, and more scalable code, setting yourself apart in your career.
By the end of this workshop, you will:
This isn't just another coding workshop, it's an investment in your future as a developer. Join us and start your journey toward DSA mastery today!
Learn why DSA matters, compare algorithms, and explore core problem-solving patterns.
Understand arrays vs linked lists and explore linear & non-linear data structures.
Learn hashing, build hash tables, handle collisions, and compare with maps and sets.
Master stack and queue operations, including circular queues and special patterns.
Learn search algorithms and dive into basic comparison and bucket-based sorting.
Explore two pointers, sliding windows, partitions, and matrix-based problems.
Understand recursion, the call stack, and its use in D&C, backtracking, and DP.
Learn to break problems into parts with merge sort, quicksort, and analysis tools.
Explore DP principles with top-down memoization and bottom-up tabulation.
Dive into binary, BSTs, balanced trees, and tree traversal techniques.
Understand heaps, build priority queues, and solve problems efficiently.
Learn graph types, representation, and explore BFS, DFS, and common use cases.
Senior Software Engineer
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