Data Structures and Algorithms Notes
Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the another way. This tutorial will give you a great understanding of the Data Structures needed to understand the complexity of enterprise-level applications and the need for algorithms, and data structures.
Modules Covered:
- Data Structures & Algorithms
- Sorting & Searching
- Stacks
- Queue
- Linked List
- Trees
- Graph
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Course Features
- Lectures 7
- Quiz 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 25
- Assessments Yes
Curriculum
- 7 Sections
- 7 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Introduction to Data Structures & AlgorithmsSection Covers: Data Structures, Algorithms, Asymptotic Notation1
- Sorting & SearchingSection Covers: Sorting Algorithms, Searching Algorithms, Cheat Sheet1
- StacksSection Covers: Operations, Applications Of Stack1
- QueueSection Covers: Queue operations, Queue variations1
- Linked ListSection Covers: Linked list, Linked List Operations, Types of Linked List1
- TreesSection Covers: Tree Data Structure, Binary Tree, Binary Search Tree(BST), AVL Tree, B-tree1
- GraphSection Covers: Graph Data Structure, Spanning Tree and Minimum Spanning Tree, Adjacency Matrix, Adjacency List, Depth First Search, Breadth first search Bellman Ford's Algorithm1
