Data Structures and Algorithms Quick Notes

Hands-On Learning

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

  1. 35 Quick Notes
  2. Learn at your own pace
  3. Engaging and interactive learning
  4. 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:

  1. Learn Big O notation and its relevance to data structures.
  2. Master arrays, strings, and hash tables.
  3. Explore search algorithms: linear and binary.
  4. Study sorting techniques: bubble, selection, insertion, merge, quick, counting, bucket, heap, and radix.
  5. Implement hashing and HashMaps for efficient data storage.
  6. Understand stack, queue, and linked list implementations.
  7. Explore binary trees, BSTs, AVL trees, B trees, and K-D trees.
  8. Learn about spanning trees and their applications.
  9. Implement segment trees for range queries.
  10. Study Suffix Array and Suffix Tree for string manipulation.

Who should take the Getting Started with Data Structures and Algorithms Quick Notes Course?

  1. Beginners seeking a foundational understanding of data structures and algorithms.
  2. Students preparing for coding interviews or competitive programming.
  3. 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

  1. Basic knowledge of programming concepts and syntax.
  2. Familiarity with fundamental data types (e.g., arrays, strings).
  3. 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)

Data Structures & Algorithms

00:05:00

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

Our Students Reviews

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