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2020-08-31 06:09:42
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This course includes:

  • 19.5 hours on-demand video
  • 23 downloadable resources
  • Full lifetime access
  • Access on mobile and TV

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Development Data Science Data Structures

Learn Data structures & Algorithms using Python for Freshers

Learn to master Data structure Algorithm by understanding concepts through time complexity and implementation in Python3
Rating: 4.1 out of 54.1 (159 ratings)
21,599 students
Created by Chandramouli Jayendran
Last updated 8/2020
English
Current price$64.99
Original Price$99.99
Discount35% off
4 days left at this price!
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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

Course content

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

  • Recursion - Introduction
    06:40
  • Why we need recursion?
    02:31
  • How recursion works internally ?
    02:48
  • Example of Recursion - 1
    04:20
  • Recursion vs Iteration
    02:25
  • Advantage and disadvantage of Recursion
    03:52
  • Recursion- Example 1
    03:57
  • Recursion - Example 2
    05:50
  • Search in Binary Search Tree recursive action Implementation in Python
    18:31

  • Algorithm Run time - Introduction
    05:28
  • Algorithm run time notation
    04:31
  • Time complexity
    04:41
  • Example - 1: Algorithm run time
    02:11
  • Example - 2: Algorithm run time
    02:41
  • Example - 3: Algorithm run time
    02:25
  • Python programming - Algorithm run time
    07:10

  • Array Introduction
    04:37
  • 1D array with example
    04:52
  • 1D Array - Python Impementation
    07:40
  • 2D Array
    04:58
  • 2D Array - Python Implementation
    08:44

  • Stack - Introduction
    05:05
  • Stack - Rest of the concepts
    04:52
  • Stack Program Introduction
    04:15
  • Stack - Other functionality program
    04:29
  • Stack Implementation in Python
    07:30

  • Queue - Introduction
    04:20
  • Queue creation and Enqueue
    03:25
  • Linear Queue
    02:51
  • Linear Queue - Program Basic
    05:16
  • Queue- Python Implementation
    06:35
  • BFS - Part 1
    06:34
  • BFS - Part 2
    04:43
  • Circular Queue - Introduction
    04:37
  • Circular Queue - Remaining topic
    03:53
  • Circular Queue - Basic program
    06:45
  • Circular Queue - Python Implementation
    14:15

  • 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

  • Binary Search Tree - Introduction 1
    02:11
  • Binary Search Tree - Introduction 2
    01:53
  • Creation of Binary Search Tree
    05:44
  • Traversal of Binary Search Tree
    04:55
  • Insertion in Binary Search Tree
    07:14
  • Insertion algorithm in Binary search tree
    04:11
  • Deletion of Binary search Tree
    03:40
  • Delete Binary search Tree
    02:56
  • Binary Search Tree - Python Implementation
    22:09

  • 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.

Instructor

Chandramouli Jayendran
Office productivity, Data analyst and stock trader
Chandramouli Jayendran
  • 3.9 Instructor Rating
  • 793 Reviews
  • 58,488 Students
  • 11 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.


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