4.7/5 
4.7/5
Data Structures & Algorithms
00:05:00
Data Structures and Algorithms Quick Notes
Reference Guide
35 Quick Notes
Quick Notes
01:55 HH:MM
Total Duration
Course Overview
In this course focused on quick understanding, you will explore important data structures and algorithms, from arrays to graphs, as well as efficient problem-solving strategies critical for software development. You will gain practical insights and coding abilities to confidently face complicated challenges.
Key Highlights of Data Structures and Algorithms Quick Notes Course
- 35 Quick Notes
- Learn at your own pace
- Engaging and interactive learning
- Clear and concise content
Key Objectives of Getting Started with Data Structures and Algorithms Quick Notes Course
By the end of this course, participants will be able to:
- Learn Big O notation and its relevance to data structures.
- Master arrays, strings, and hash tables.
- Explore search algorithms: linear and binary.
- Study sorting techniques: bubble, selection, insertion, merge, quick, counting, bucket, heap, and radix.
- Implement hashing and HashMaps for efficient data storage.
- Understand stack, queue, and linked list implementations.
- Explore binary trees, BSTs, AVL trees, B trees, and K-D trees.
- Learn about spanning trees and their applications.
- Implement segment trees for range queries.
- Study Suffix Array and Suffix Tree for string manipulation.
Who should take the Getting Started with Data Structures and Algorithms Quick Notes Course?
- Beginners seeking a foundational understanding of data structures and algorithms.
- Students preparing for coding interviews or competitive programming.
- Professionals aiming to strengthen their programming skills with practical algorithms and data structure implementations.
Pre-requisites for Getting Started with Data Structures and Algorithms Quick Notes Course
- Basic knowledge of programming concepts and syntax.
- Familiarity with fundamental data types (e.g., arrays, strings).
- Understanding of basic algorithms like sorting and searching.
Want to learn Data Structures and Algorithms? Refer to this link: Data Structures and Algorithms Course
Included in this Data Structures and Algorithms Quick Notes
- Quick Notes 35 Quick Notes
Quick Notes Notes (35)
Big O in Data Structure
00:06:00
Array in Data Structures
00:07:00
String in Data Structure
00:02:00
Hashing in Data Structure
00:04:00
HashMap in Data Structure
00:01:00
Hash Table in Data Structure
00:01:00
HashSet in Data Structure
00:01:00
Linear Search in Data Structure
00:02:00
Binary Search in Data Structure
00:02:00
Bubble Sort in Data Structure
00:03:00
Selection Sort in Data Structure
00:02:00
Insertion Sort in Data Structure
00:03:00
Merge Sort in Data Structure
00:03:00
Quick Sort in Data Structure
00:02:00
Counting Sort in Data Structure
00:03:00
Bucket Sort in Data Structure
00:03:00
Heap Sort in Data Structure
00:04:00
Shell Sort in Data Structure
00:03:00
Radix Sort in Data Structure
00:02:00
Linked List in Data Structure
00:03:00
Singly Linked List in Data Structure
00:02:00
Doubly Linked List in Data Structure
00:03:00
Circular Linked List in Data Structure
00:02:00
Stack in Data Structure
00:04:00
Queue in Data Structure
00:04:00
Trees in Data Structure
00:06:00
Binary Tree in Data Structure
00:05:00
Binary Search Tree in Data Structure
00:03:00
AVL Tree in Data Structure
00:05:00
B Tree in Data Structure
00:04:00
K-Dimensional Tree in Data Structures
00:04:00
Spanning Tree in Data Structures
00:05:00
Segment Tree in Data Structures
00:02:00
Suffix Array and Suffix Tree in Data Structures
00:04:00
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