Learn Data structures and Algorithms (DSA) from very basics to some advanced concepts!
Data structures and algorithms are fundamental concepts in computer science that enable efficient data management, manipulation, and problem-solving. A data structure is a specialized format for organizing, storing, and retrieving data, while an algorithm is a sequence of steps or instructions designed to solve specific problems. Together, they optimize the performance and resource usage of software applications.
What you’ll learn
- Learn basics of Algorithms concepts.
- Learn Data structures concepts.
- Learn linear data structures.
- Learn non-linear data structures.
Course Content
- Introduction –> 7 lectures • 1hr 5min.
Requirements
Data structures and algorithms are fundamental concepts in computer science that enable efficient data management, manipulation, and problem-solving. A data structure is a specialized format for organizing, storing, and retrieving data, while an algorithm is a sequence of steps or instructions designed to solve specific problems. Together, they optimize the performance and resource usage of software applications.
Data structures are categorized into two broad types: linear and non-linear. Linear structures, such as arrays, linked lists, stacks, and queues, organize data in a sequential manner. Arrays store elements in contiguous memory locations, allowing fast access but fixed size. Linked lists, on the other hand, consist of nodes connected through pointers, offering dynamic memory allocation but slower access.
Algorithms are classified based on their approach to solving problems. Sorting algorithms like QuickSort, MergeSort, and BubbleSort arrange data efficiently, each varying in time and space complexity. Searching algorithms include linear search and binary search, with the latter being faster on sorted data.
data structures provide efficient ways to store and manipulate data, while algorithms offer methods to process this data optimally. Together, they form the foundation for designing software that can handle complex, real-world tasks efficiently and effectively. Understanding both is essential for creating scalable, high-performance applications.