Data Structures and Algorithms (DSA) for Coding Interviews

Master Data Structures and Algorithms with an Industry Professional

Want to improve your problem-solving skills and crack coding interviews at product-based companies? This course is designed to help students and working professionals build strong DSA fundamentals, develop logical thinking, and solve coding problems confidently.

I am a Software Developer with 4+ years of industry experience, working on real-world software applications and backend systems. My teaching approach focuses on building concepts from the ground up, understanding problem-solving patterns, and applying them to interview-level questions.

What You Will Learn

• Programming Fundamentals: Time and space complexity, Big-O notation, and efficient coding practices.

• Arrays and Strings: Searching, sorting, two pointers, sliding window, and prefix sums.

• Linked Lists: Reversal, cycle detection, and common interview problems.

• Stacks and Queues: Implementation, monotonic stack, and problem-solving patterns.

• Hashing: Hash maps, hash sets, and frequency-based problems.

• Recursion and Backtracking: Recursive thinking, permutations, combinations, and subsets.

• Binary Search: Search variations and binary search on answers.

• Trees and Binary Search Trees: Traversals, recursion, and common interview questions.

• Heaps and Priority Queues: Top-K problems and efficient element selection.

• Graphs: BFS, DFS, shortest paths, and graph traversal techniques.

• Greedy Algorithms: Optimization problems and common greedy patterns.

• Dynamic Programming: Memoization, tabulation, and pattern-based problem solving.

• Interview Preparation: Coding practice, problem-solving strategies, and mock interview-style questions.

My Teaching Approach

• Build strong fundamentals before moving to advanced problems.

• Explain the intuition and approach before writing code.

• Solve problems step by step with dry runs and complexity analysis.

• Practice easy, medium, and selected hard-level questions.

• Focus on recognizing patterns rather than memorizing solutions.

• Customize sessions based on your current skill level and goals.

Who Should Join?

• College students preparing for placements.

• Freshers targeting software development roles.

• Working professionals preparing for job switches.

• Developers who want to strengthen their DSA fundamentals.

Whether you are starting from scratch or revising DSA for interviews, the goal is to help you become a more confident and independent problem solver.