Data Structures

Categories: Data Structures
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About Course

This course teaches you everything you need to know about data structures and algorithms so you can ace your coding interview with confidence.

What Will You Learn?

  • Ace your next coding interview.
  • Write better, faster code.
  • Become a better developer.
  • Improve your problem-solving skills.
  • Master computer science fundamentals.
  • Implement all the essential data structures from scratch.

Course Content

Introduction of Data Structure (4 hr)
Delve into the fundamentals of data structures, understanding their advantages and learning to write them effectively in this concise module.

  • The Data Structure and its Advantages (2 hrs)
  • Writing Data Structure (2hrs)

Problem Solving Techniques (16 hr)
Master essential problem-solving techniques, including recursion and time/space complexity analysis, crucial for efficient algorithm development.

Object Oriented Programming (12 hr)
Explore the basics and advanced concepts of Object-Oriented Programming (OOPs), laying the foundation for structured software design and development.

Linear Data Structures (18 hr)
Discover the intricacies of linear data structures such as linked lists, stacks, and queues, essential for organizing and manipulating data efficiently.

Trees (20 hr)
Dive into the world of trees, covering generic trees, binary trees, and binary search trees, unlocking the power of hierarchical data representation and manipulation.

Advanced Data Structures (32 hr)
Explore advanced data structures including priority queues, hashmaps, tries, and graphs, enabling efficient storage and retrieval of complex data sets.

Dynamic Programming (14 hr)
Learn the fundamentals of dynamic programming and its applications, mastering the art of optimizing solutions to complex problems through dynamic programming techniques.

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