Learn Data structures & Algorithms using Python for Freshers

Name: Learn Data structures & Algorithms using Python for Freshers
Brand: Udemy
SKU: course:2934632
Rating: 4.2 (171 reviews)

Learn to master Data structure Algorithm by understanding concepts through time complexity and implementation in Python3

(171 ratings)

21,615 students

Created by Chandramouli Jayendran

Last updated 1/2021

English

30-Day Money-Back Guarantee

What you'll learn

Apply basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.
Apply various data structures such as stack, queue, hash table, priority queue, binary search tree, graph and string to solve programming challenges.
Apply graph and string algorithms to solve real-world challenges: finding shortest paths
Solve complex programming challenges using advanced techniques

19 sections • 199 lectures • 19h 22m total length

Preview04:39
Introduction- Part 2 - Data Structure
04:26
Introduction Part 3: Data structure and algorithm
04:17
Introduction Part 4: Data structure and algorithm
01:57
Introduction Part 5: Data structure and algorithm
02:47
Introduction Part 6: Data structure and algorithm
01:57

Linked List - Introduction
06:00
Array vs Linked List
03:07
Types of Linked list
04:28
Memory Allocation in Linked List
02:13
Creation of Linked List
03:04
Insertion in Linked List
08:33
Traverse and search of Linked List
04:16
Deletion of Linked List
06:29
Singly Linked List - Python Implementation
25:56
Creation of circular linked list
02:11
Insertion of Circular linked list
06:06
Insertion Algorithm in Circular Linked list
05:03
Traverse and search of Circular Linked List
03:58
Deletion of Circular Linked List
04:33
Singly Circular Linked List- Python Implementation
27:39
Creation of Doubly linked list
03:38
Insertion of Doubly linked list
06:35
Insertion Algorithm in Doubly Linked list
04:39
Traverse and search of Doubly Linked List
04:37
Deletion of Doubly Linked List
06:26
Doubly Linked List - Python Implementation
19:26
Creation of Doubly Circular linked list
03:16
Insertion in Doubly Circular Linked list
04:56
Insertion Algorithm in Doubly Circular Linked list
03:30
Traverse and search of Doubly Circular Linked List
03:01
Doubly Circular Linked List - Python Implementation
21:16

Preview03:52
Why we need Tree Data structure?
02:24
Tree Terminology - Part 1
04:04
Tree Terminology - Part 2
03:06
Introduction to Binary tree
02:39
Types of Binary Tree
02:18
Binary Tree representation
03:16
Creating Binary Tree using Linked List
01:50
Pre-Order traversal using Linked List
05:36
In-Order Traversal using Linked List
04:42
Post-Order Traversal using Linked List
03:53
Level-Order Traversal
03:57
Binary Tree Traversal - Python Implementation
08:42
Insertion in Binary Tree using Linked List
05:16
Search in Binary Tree using Linked List
03:42
Deletion in Binary Tree using Linked List
04:32
Delete Binary Tree using Linked List
02:15
Creation of Binary Tree using Arrays
03:54
Preview04:42
Insertion Algorithm in Binary Tree using Array
04:15
In-Order Traversal using Array
04:14
Pre-Order traversal using Array
02:17
Post-Order Traversal using Array
02:39
Deletion in Binary tree using array
04:21
Delete Binary tree using Array
01:57

AVL Tree - Introduction
05:01
What is AVL Tree?
04:26
Creation and search of AVL Tree
03:40
Traversal of AVL Tree
03:13
Insertion in AVL Tree
03:27
AVL Tree - Insertion, Height, Balance creation - Python Implementation
08:50
Left-Left Violation in AVL tree
04:39
Right-Right Violation in AVL Tree
03:22
Left-Right Violation in AVL Tree
04:25
Right-Left Violation in AVL Tree
02:56
AVL Tree - Violation and rotation - Python Implementation
17:03
Deletion in AVL Tree
04:05
AVL Tree - Removal and testing - Python Implementation
19:17

Requirements

Basic computer programming
Basic Mathematics knowledge

Description

The course Data structures and Algorithm using Python covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.

You will learn a lot of theory: how to sort data and how it helps for searching. How to break a large problem into pieces and solve them recursively and it makes sense to proceed greedily.

Implemented all the concepts using Python 3 using Pycharm IDE and explained the time complexity and difficulty of the data structures.

This course contains of these below mentioned topic:

Recursion.
Algorithm run time analysis
Arrays
Stack
Linked list
Data Structure
Binary Tree
Binary Search Tree
AVL Tree
Heap tree
Queue
Sorting
Hash Table
Graph Theory
Magic Framework
Computer Programming
Dynamic Programming

Who this course is for:

Beginner who have little programming experience , willing to learn and pursue data science career.

Chandramouli Jayendran

Office productivity, Data analyst and stock trader

3.7 Instructor Rating
838 Reviews
58,588 Students
12 Courses

I am a software engineer turned into stock trader. Author of 10+ Udemy courses with more than 50K students enrolled. I am very passionate on teaching office productivity, software programming and stock market analysis.

Worked with teaching several corporate on Office productivity and Programming. Running an teaching centre of my own.

Trade in stock market whenever I could see opportunity.

Learn Data structures & Algorithms using Python for Freshers

What you'll learn

Course content

Introduction6 lectures • 20min

Recursion - Data Structures9 lectures • 51min

Algorithm Run time7 lectures • 29min

Array - Data structure5 lectures • 31min

Stack - Data Structure5 lectures • 26min

Queue - Data Structure11 lectures • 1hr 3min

Linked List26 lectures • 3hr 15min

Tree25 lectures • 1hr 34min

Binary Search Tree9 lectures • 55min

AVL Tree13 lectures • 1hr 24min

Requirements

Description

Who this course is for:

Instructor