A data structure is a collection of data values and the relationships between them. Data structures allow programs to store and process data effectively. There are many different data structures, each with its own advantages and disadvantages. Some of the most common data structures are arrays, lists, trees, and graphs. As the name indicates, Data Structure is used for organizing the data in memory. There are various ways of organizing the data in the memory for eg. array, list, stack, queue and many more. The data structure isn’t a programming language like C, C++, Java, etc. It is a set of algorithms that can be used in any programming language to organize the data in the memory. Need of Data Structure As applications are becoming more complex and the amount of data is increasing day by day, which may cause problems with processing speed, searching data, handling multiple requests etc. Data structure provides a way of organizing, managing, and storing data efficiently. With the help of data structure, the data items can be traversed easily. Data structure provides efficiency, reusability and abstraction. It plays an important role in enhancing the performance of a program because the main function of the program is to store and retrieve the user’s data as fast as possible. Why Learn Data Structure? Data structure and algorithms are two of the most important aspects of computer science. Data structures allow us to organize and store data, while algorithms allow us to process that data in a meaningful way. Learning data structure and algorithms will help you become a better programmer. You will be able to write code that is more efficient and more reliable. You will also be able to solve problems more quickly and more effectively.