Description:

Learn how data is organized, stored, and accessed to solve problems efficiently. Explore fundamental data structures, their operations, and how to choose the right structure for different tasks.

Key Highlights:

• Understand core data structures and their uses
• Analyze time and space complexity
• Practice implementing common structures
• Choose efficient structures for real-world problems
• Build a foundation for algorithms and technical interviews

What you will learn:

• Arrays and Strings
  Store and process sequential data, and understand common operations and their costs.
• Linked Lists
  Explore nodes, pointers, and singly and doubly linked lists, including insertion and deletion.
• Stacks and Queues
  Use LIFO and FIFO structures to manage tasks, parse expressions, and model workflows.
• Trees and Heaps
  Understand hierarchical data, tree traversal, binary search trees, and priority queues.
• Hash Tables
  Use hashing for fast lookups and learn about collisions and strategies for handling them.
• Graphs
  Represent relationships and explore graph traversal and common applications.
• Complexity and Selection
  Compare performance and select suitable data structures based on problem requirements.