How to learn DSA?
The first and foremost thing is dividing the total procedure into little pieces which need to be done sequentially. The complete process to learn DSA from scratch can be broken into 5 parts:
- Learn at least one programming language (We leave this to your choice.)
- Learn Data Structures
- Learn Algorithms
- Learn about Time and Space complexities
- Practice Problems on DSA
Hoping you have learned a programming language of your choice, let us move forward with the next step to learn DSA in this DSA tutorial.
Here comes the most important and the most awaited stage of the roadmap for learning data structure and algorithm – the stage where you start learning about DSA. The topic of DSA consists of two parts:
- Data Structures
- Algorithms
Though they are two different things, they are highly interrelated, and it is very important to follow the right track to learn them most efficiently. If you are confused about which one to learn first, we recommend you to go through our detailed analysis on the topic: What should I learn first- Data Structures or Algorithms?
Here we have followed the flow of learning a data structure and then the most related and important algorithms used by that data structure.
Learn Data Structures and Algorithms | DSA Tutorial
Data Structures and Algorithms (DSA) refer to the study of methods for organizing and storing data and the design of procedures (algorithms) for solving problems, which operate on these data structures. DSA is one of the most important skills that every computer science student must have. It is often seen that people with good knowledge of these technologies are better programmers than others and thus, crack the interviews of almost every tech giant. This DSA tutorial aims to help you learn Data Structures and Algorithms (DSA) quickly and easily.
Table of Content
- DSA Full Form
- What is DSA?
- How to learn DSA?
- Learn Data Structures
- Array
- String
- Linked Lists
- Matrix/Grid
- Stack
- Queue
- Heap
- Hash
- Tree
- Graph
- Learn Algorithms
- Searching Algorithm
- Sorting Algorithm
- Divide and Conquer Algorithm
- Greedy Algorithms
- Recursion
- Backtracking Algorithm
- Dynamic Programming
- Graph Algorithms:
- Pattern Searching
- Mathematical Algorithms
- Geometric Algorithms
- Bitwise Algorithms
- Randomized Algorithms
- Branch and Bound Algorithm
- Learn about Complexities
- Practice Problem Cheat Sheets
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