Datastructures & Algorithms is a very important and foundational topic in Computer Science & Information Technology for Software Developers. It forms the basis of all software development tasks. However, learners often get lost in the vast world of Data structures & Algorithms. We, at Meritstore, have thus decided to streamline the whole Data structures and algorithms syllabus so that you can study the topic with ease.

#### What are Data structures?

Data structures are fundamental components of computer science that organize and store data in a computer’s memory. They provide efficient ways to manage, access, and manipulate data, enabling algorithms to operate more effectively.

#### Types of Data Structures

There are two types of data structures – Linear & non-linear. Linear data structures are data structures in which elements are stored in a sequence. E.g. Arrays where each element is in a sequence. Non-linear data structures are those data structures in which elements are not stored in a sequence. E.g. Trees, where elements are not in a sequence in memory but at different positions based on tree structure.

**List of Linear Data structures:**

**List of Non-linear Data Structures:**

#### Data structure Operations

The next important point is being able to operate different functions/operations on each of the above-mentioned data structures. You need to learn operations like Traversal, Insertion, Modification, Deletion, Search, and Sort on each data structure.

#### Time and Space Complexity Analysis

Time & Space complexity refers to the amount of time & memory space consumed with respect to the amount of inputs provided.

#### Types of Algorithms

(These are algorithms which are not specific to any particular data structure and can be applied to any data structure):

- Recursion
- Dynamic Programming
- Backtracking
- Greedy Algorithm

So, we hope we have streamlined the syllabus and now you have a clearer view of how to ace Data structures and Algorithms. The blog post contains many links to learn further each topic in detail.

## Add Comment