data structures and algorithms course by hello coders | free complete course with interview question

if you Want to land a software engineering job in the IT industry?
This course - 'Visualizing Data Structures and Algorithms' is here to help. The course walks you through multiple Java algorithms, data structures problems, and their solutions with step by step visualizations, so that you are actually learning instead of blindly memorizing solutions.

This video is a one-stop solution if you are looking for a data structures and algorithm tutorial. It explains the data structures and algorithms which will take you from beginner to expert in one go.

We will explain data structures and algorithms from start to finish.

A data structure is a way to store and manage data in computer memory so it can be used in the future. Data can be arranged in many ways that enable access and modification when needed.

It can be further divided into two types, linear and non-linear data structure. We will provide enough details about data structures and their types in this data structure tutorial.

The algorithm is a process to solve a specific problem in a data structure. Learning DSA (data structure and algorithm) will allow you to perform optimized and efficient programming in various languages like python, C++, java, etc.

Data structure full course tutorial will allow you to learn new skills to add to your skillset.

The course covers in and outs of Data Structures and Algorithms in Java. Java is used as the programming language in the course. Students familiar with Javascript, Python, C#, C++, C, etc will also get to learn concepts without any difficulty. The implementation of various Algorithms and Data Structures have been demonstrated and implemented through animated slides. It covers many interview room questions on Algorithms and Data Structures. The questions and solutions are demonstrated by -

1. Animated slide. (To make visualization of algorithms faster)
2. Coding algorithm on IDE.

The course covers topics such as -
0. Algorithm Analysis
1. Arrays
2. Matrix
3. Singly Linked List
4. Doubly Linked List
5. Circular Singly Linked List
6. Stacks
7. Queues
8. Binary Tree
9. Binary Search Tree
10. Graphs
11. Priority Queues and Heaps
12. Recursion
13. Searching
14. Sorting
15. Strings
16. Trie Data Structure
17. Dynamic Programming


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