Data Structures and Algorithms: The Glue That Joins Algorithms with Data

If you are a beginner programmer or a student of computer science at some point you may have wondered about what it takes to design better algorithms. On the bright side, it turns out to be the driving force that has given the world better algorithms for a solution.  So what are the criteria that make an algorithm better than others? You cannot be satisfied if your works are accomplished well and good. You have to look beyond. For example, an algorithm can sort 10 numbers in 0.0003 mil seconds whereas another can sort in a less 0.0001 milliseconds. Which one will you prefer? It is all about faster algorithms and not fast computers.
When you learn data structures and algorithms you will come to know how the speed of an algorithm is measured in terms of time complexity. An algorithm with logarithmic time complexity is thought to better than polynomial time complexity.  The main thing to understand here is that if you need to design algorithms that perform better you need the support of powerful data structures. In Data Structures And Algorithms Course , you will learn the protocols and techniques of designing superior algorithms and powerful data structures such that you can organize the data in a way it consumes a minimum amount of space and can be accessed easily.
In this course, you will learn in detail about different structures like arrays, stack, queues, linked list, tree, etc. Moreover, you will also learn about different sorting algorithms like the bubble sort, insertion sort, selection sort, quick sort and more.
Algorithms and data structures are universal as they could be created and implements in any programming language subjected to the restrictions put forward by that language.  To sum up, Data structure is the bonding agent between data and algorithm which glues it together.

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