Data Structure serves the best mode to manage large and complex data efficiently for multiple purposes such as large databases and internet indexing services. There are several sub-topics included in a data structure that make it the most prominent aspect of computer science.

1. Linked Lists: They can be defined as the collection of data elements known as nodes. They are the most common data structures that are used to implement abstract data types.
2. Stack Data Structure: A stack is an abstract data type (ADI) that acts as a collection of elements with two main operations; push and pop. It can be easily implemented with the help of an array.
3. Queue Data Structure: A queue is somewhat, similar to the stack in which the entities are kept in order. It also offers services in many fields such as transport and computer science etc. where data and objects are stored.
4. Array: It comprises of various elements such as values or variables in which one of them is identified by at least one array. It is the most important data structure that is used by almost every program.
5. Matrix: In the matrix, most of the elements are zero. It is stored as a two-dimensional array that is beneficial and often necessary to use specialized data structures and algorithms.
6. Binary Tree Data Structure: A binary tree is a tree type data structure in which there is each node has two children, i.e. left child and right child. The tree data structure is used to implement a binary search for efficient searching and sorting.
7. Heap Data Structure: A heap is the same as the binary tree data structure where each node is compared with its children. It also helps in satisfying the heap property.
8. Graph Data Structure: A graph is a nonlinear data structure that has a finite set of vertices called nodes and also a set of links called edges. It also used to store and evaluate metadata. Get our data structure assignment help from our experts.