Data Structures & Algo

Chapter 1: Introduction to Data Structures & Algorithms
This chapter introduces data structures and algorithms, explaining why they are critical for problem-solving, software development, and technical interviews. Students learn about time and space complexity at a high level and how DSA is used in real-world systems.

Chapter 2: Programming Foundations & Problem-Solving Approach
Learners strengthen their programming fundamentals and logical thinking. This chapter focuses on writing clean code, understanding input-output handling, recursion basics, and developing a structured approach to solving algorithmic problems.

Chapter 3: Time & Space Complexity Analysis
This chapter dives deeper into Big O notation, best, average, and worst-case analysis, and space optimization techniques. Students learn how to analyze and compare algorithm efficiency.

Chapter 4: Arrays & Strings
Students learn array operations, searching, sorting basics, and string manipulation techniques. This chapter focuses on solving common interview-style problems using arrays and strings.

Chapter 5: Linked Lists
This chapter covers singly, doubly, and circular linked lists, along with insertion, deletion, traversal, and reversal operations. Students practice solving real-world problems using linked lists.

Chapter 6: Stacks & Queues
Learners explore stack and queue data structures, their implementations, and applications such as expression evaluation, recursion handling, and scheduling problems.

Chapter 7: Trees & Binary Search Trees
This chapter introduces tree data structures including binary trees, binary search trees, traversals, height, depth, and common tree-based problem-solving techniques.

Chapter 8: Heaps & Priority Queues
Students learn heap data structures, min-heap and max-heap operations, priority queues, and their use cases in scheduling, optimization, and real-time systems.

Chapter 9: Hashing & Hash Tables
This chapter focuses on hash functions, collision handling techniques, and efficient data retrieval. Students learn how hashing improves performance in large-scale applications.

Chapter 10: Graphs & Graph Algorithms
Learners explore graph representations, traversal algorithms such as BFS and DFS, shortest path algorithms, and real-world graph applications like networks and maps.

Chapter 11: Paid Internship Program (Internovate Exclusive)
The final chapter places students into a paid DSA-focused internship where they work on real problem-solving tasks, algorithm optimization, coding challenges, and project-based assignments. Students receive mentor feedback, improve interview readiness, and earn an internship certificate and experience letter, bridging the gap between theory and practical experience.

Rs. 2999 Rs.999

Duration: 3 Months