Learn the Essentials of Data Structures & Algorithms

Welcome to Data Structures & Algorithms - the ultimate course to learn the core concepts behind Data Structures and build a solid programming foundation using C++. This comprehensive course, taught by Prateek Narang from Google, is perfect for beginners and intermediate programmers. Prateek has successfully mentored thousands of students to become great coders and developers and is concise course on Udemy for his amazing teaching skills. Data Structures are the building blocks of computer programming and refer to the way data is organized and stored in a computer system. They are used to manipulate and store data in an efficient and organized way. Data Structures are used to represent real-world objects and concepts such as lists, trees, graphs, and others. They are also used to define the operations that can be performed on the data, and the relationships between the data elements.

Learn the Essentials of Data Structures & Algorithms Udemy

Data Structures are composed of two components: data and the operations that can be performed on the data. The data elements can be of any type, such as numbers, strings, and objects. The operations can be either simple or complex, depending on the type of data structure and its use. Common operations include search, insertion, sorting, and deletion.

Data Structures are also used to design efficient algorithms for solving problems. By properly organizing and manipulating data, algorithms can be made more efficient, allowing them to solve a problem faster or with less memory.

Data Structures can be divided into two main categories: linear and non-linear. Linear Data Structures are those that store data elements in a linear order. Examples of linear Data Structures include arrays, linked lists, and stacks. Non-linear Data Structures are those that store data elements in a non-linear order. Examples of non-linear Data Structures include binary trees, heaps, graphs, and hash tables.

Data Structures are essential for software development and are used in almost every application. By understanding how to use Data Structures, developers can create more efficient, reliable, and scalable programs.