Udemy

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English

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Software Engineering

Category

Data Structures and Algorithms for Coding Interview

Build your strong understanding in data structures and algorithms for coding interview. Get more job offer.

4.33 (65 reviews)

Students

14.5 hours

Content

Jul 2021

Last Update
Regular Price


What you will learn

Fundamentals of Data Structures and Algorithms

Become Confident in Data Structures and Algorithms

Learn, Implement and Use Different Data Structure

Learn Popular Data Structures and Their Algorithms

Master Algorithms including 7 Sorting Algorithms

Become Confident in Algorithms Coding Interview


Description

Welcome to "Data Structures and Algorithms for Coding Interview" course.

Want to land a job at a great tech industry like Google, Microsoft, Facebook, Netflix, Amazon, or other industries but you are intimidated by the foundation of data structures and algorithms skills for the job?

Many programmers who are "self taught", feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews.

Here is what you will learn in this course:

>> Algorithm Run Time Analysis - Big O - O(n) Notation

>> Array (1D, 2D Array)

>> Linked List (All Types of Linked List)

>> Stack Data Structure

>> Queue Data Structure

>> Binary Tree (Array, Linked List Implementation, BFS/DFS Traversal and more)

>> Binary Search Tree

>> Binary Heap

>> AVL Tree

>> Trie Data Structure

>> Searching Algorithms

>> Recursion

>> Sorting Algorithms

>> Dynamic Programming

>> Hashing*

>> Graph*

Unlike most instructors, I am not a marketer or a salesperson. I am a self taught programmer(I studied statistics not computer science) who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

Taking his experience in educational statistics and coding, Barik's courses will take you on an understanding of complex subjects that you never thought.


We have 30 days money back guarantee, so nothing to lose here.


See you inside the courses!


Screenshots

Data Structures and Algorithms for Coding Interview
Data Structures and Algorithms for Coding Interview
Data Structures and Algorithms for Coding Interview
Data Structures and Algorithms for Coding Interview

Content

Introduction

Introduction

Algorithm Run Time Analysis (Big O Notation)

What is Algorithm Runtime Analysis

Why should we learn algorithm run time analysis?

Time Complexity Analysis Example #1

Time Complexity Analysis Example #2

Data Structure - Array

What is an array & why we need an array

Types of array

How is an array represented in RAM

Create a 1D Array

Traverse 1D Array

Get, Insert, Update & Delete Operations in 1D Array

Searching Algorithms (Linear Search + Binary Search)

Create a 2D Array

Get, Insert & Update Operations in 2D Array

Traverse 2D Array

1D Array Problem: Move Zeroes

1D Array Problem: Remove Duplicates from Sorted Array

2D Array Problem: Rotate Image

2D Array Problem: Spiral Matrix

Data Structure - Linked List

What is Linked List

Different Types of Linked Lists

Creation & Insertion Operations in SLL (Singly Linked List)

Insertion (At Index, At Begining & At End) Operations in SSL(Singly LInked List)

Travering & Searching in SLL (Singly Linked List)

Deleting Node & Deleting Entire Linked List (Singly Linked List)

Source Code for Singly Linked List (SLL)

Creation & Insertion Operations in CSLL (Circular Singly Linked List)

Traversing & Searching in CSLL (Circular Singly Linked List)

Insertion in CSLL (Circular Singly Linked List)

Deleting Node & Deleting Entire Linked List (Circular Singly Linked List)

Source Code for Circular Singly Linked List (CSLL)

Creation & Insertion Operations in DLL (Doubly Linked List)

Traversing & Searching in DLL (Doubly Linked List)

Insertion in DLL (Doubly LInked List)

Deleting Node & Deleting Enire Linked List (Doubly Linked List)

Source Code for Doubly Linked List (DLL)

Creation & Insertion Operations in CDLL (Circular Doubly Linked LIst)

Traversing & Searching in CDLL (Circular Doubly Linked List)

Insertion in CDLL (Circular Doubly Linked List)

Deleting Node & Deleting Entire Linked List (Circular Doubly Linked List)

Source Code for Circular Doubly Linked List (CDLL)

Linked List Problem: Reverse a Singly Linked List -- Recursive Solution

Linked List Problem: Reverse a Singly Linked List -- Iterative Solution

Data Structure - Stack

What is Stack

Stack Implementation Options

Array - Create, Push & Pop

Array - Peek, isEmpty, isFull & deleteStack

Source Code -- Stack Using Array

Linked List - Create, Push & Pop

Linked List - Peek, isEmpty, & deleteStack

Source Code -- Stack Using Linked List

Stack Problem: Valid Parentheses

Stack Problem: Decode String

Data Structure - Queue

What is Queue

Queue Implementation Options

Array - Linear Queue

Source Code - Linear Queue Implementation using Array

Array - Circular Queue

Source Code - Circular Queue

Linked List - Linear Queue

Source Code - Linear Queue Implementation using LInked List

Data Structure - Binary Tree

What is Tree & Why should we learn tree

Tree Terminologies :: Root, Leaf, Edge, Ancestor, ... Depth of Tree ::

Tree Terminologies :: Predecessor & Successor ::

What is Binary Tree

Types of Binary Tree

How is Tree Represented :: Linked List & Array Representation ::

Create Binary Tree & Insert Value :: Linked List Implementation ::

Search for a Value in Binary Tree

Delete Value from Binary Tree

Delete Binary Tree

Tree Traversal Techniques :: Inorder, Preorder & Postorder Traversal ::

Preorder Traversal Details :: Recursive + Iterative ::

Inorder Traversal Details :: Recursive + Iterative ::

Postorder Traversal Details :: Recursive + Iterative ::

Level Order Traversal Details :: Recursive + Iterative ::

Source Code :: Implementation of Binary Tree Using Linked List ::

Create Binary Tree & Insert Value :: Array Implementation ::

Search for a Value in Binary Tree

Delete Node from Binary Tree

Delete Binary Tree

Preorder Traversal

Inorder Traversal

Postorder Traversal

Level order Traversal

Source Code :: Implementation of Binary Tree Using Array ::

Data Structure - Binary Search Tree (BST)

What & Why is BST

Creation & Insertion in BST

Traversing BST

Searching in BST

Deletion Node in BST

Deletion of BST

Source Code :: BST ::

Data Structure - Binary Heap

What is Binary Heap & Why

Heap Implementation Options

Insert into Binary Heap

Size, IsEmpty & Peek Operation

Extract Operation

Delete Heap

Source Code :: Binary Heap::

Data Structure - AVL Tree

What & Why is AVL Tree

CreateAVLTree & Search Operation

Left-Left Condition (Insertion)

Details of Rotation & Condition

Left-Right Condition (Insertion)

Right-Right Condition (Insertion)

Right-Left Condition (Insertion)

Delete Node from AVL Tree (LL, LR, RL, RR Condition)

Delete AVL Tree

Source Code :: AVL TREE ::

Data Structure - Trie

What & Why is Trie

Representation of Trie Data Structure

Create Trie & Insert Word

Prefix Search

Search Word

Delete Word

Trie -- Source Code

Algorithm - Searching

Linear Search Algorithm

Code :: Linear Search Algorithm ::

Binary Search Algorithm

Code :: Binary Search Algorithm ::

Algorithm - Sorting

Bubble Sort

Selection Sort

Insertion Sort

Bucket Sort

Merge Sort

Quick Sort

Heap Sort

Algorithm - Recursion

What is recursion & Why we should use recursion

Format of recursion

How recursion works internally

Nth Fibonacci

Recursion vs Iteration

Algorithm - Dynamic Programming

What is Dynamic Programming & Why

Top-Down Approach

Bottom Up Approach

Longest Increasing Subsequence

House Robber

Min Path Sum

Longest Common Subsequence

0/1 Knapsack Problem

Regular Expression Matching


Coupons

DateDiscountStatus
8/2/2021100% OFFExpired
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3731904

Udemy ID

12/28/2020

Course created date

8/1/2021

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