DSA for FAANG preparation with Python and JavaScript (iNeuron)

An exhaustive pursue to succeed any intreview for the Data Structures and Algorithms. This course has been explicitly intended to give assets that would help you in breaking problem-solving interviews. The introduced problems in the course would get the job done to look on to positive outcomes in the interviews.

Prepare for FAANG interviews with iNeuron's DSA course in Python and JavaScript. Learn algorithms, data structures, recursion, divide and conquer, and more to crack problem-solving interviews. Enroll now!

What you'll Learn

Analysis in Algorithms

Data Construction Presentation

Array Data Construction

Inquiry Question on array

Recursion inside and out

Divide and Conquer calculation

Utilizations of Divide and Conquer

Linked List Data Construction

Inquiry Question on Linked List

Circular Linked List

Doubly Linked List

Skip List

Stack and Queue

Inquiry Question on Stack and Queue

Hashing Data Design

Collision Resolution Strategies

Tree Data Design

Tree Crossing

Binary Search Tree

Level Adjusted Tree: AVL Tree

Prerequisites

Framework with Internet Connection

Interest to learn

Dedication

Course Educational plan

Presentation

Course Outline

Analysis in Algorithms

Why we want Data structures and algorithms

Prologue to algorithms and it's analysis : Reality Intricacy

Asymptotic Documentation: Enormous O, Omega and Theta Documentation

Repeat Connection Solving: Replacement, Recursive Tree and Expert's Hypothesis

Data Construction Presentation

Memory Interaction - Stack and Pile

Physical and legitimate data structures

Conceptual data types

Array Data Design

Prologue to arrays

Idea of 1D and 2D array (line significant request and segment significant request)

Searching calculation: straight, binary, ternary search

Idea of inplace and outplace arranging calculation

Idea of steady and temperamental arranging calculation

Arranging calculation: comparison(selection, bubble, inclusion, quicksort, mergesort, heapsort, shellsort)

Arranging calculation: Non-comparison(count sort, container sort, radix sort)

Inquiry Question on array

Revolution of an array

Finding of missing number in an array

Division of two whole numbers without utilizing division administrator

Search in pivoted array

Target trio

Stock purchase offer to expand benefit

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Priya Bhatia

Skill in data structure cutthroat programing and solving a logical problems and executing data structure calculation in various programing language. I have done my M.Tech in Man-made reasoning at IIT Hyderabad and have an encounter of execution in various activities.

Social Connections:

 

Hitesh Choudhary

I like to make recordings connected with code and tech in my spare energy. I likewise lead a couple of tech groups in new businesses, help in employing ability for organizations. I'm likewise on a parttime explorer, with 31 nations confirmed up until this point!

Social Connections:

 

Anurag Tiwari

Hello, I'm Anurag Tiwari, a designer at learncodeonline. We have constructed a versatile framework handled by 300K clients consistently. I'm a product engineer who continually looks for imaginative answers for ordinary problems. I have been showing understudies throughout the previous two years.

 

Shishir Chandra

Shishir Chandra right now works with Target Stage engineer group as Head of designing in conveyed handling frameworks space. Shishir has a wide assortment of involvement with building and increasing low dormancy and high throughput frameworks in different cloud stacks in organizations like Adobe, Apple, Cohesity and Inmobi before. Shishir's specialized topic is in circulated stages, databases, conditional and realtime frameworks, large data handling, Microservices and streaming frameworks and conveyed documents frameworks. Shishir is additionally an open source donor with flexible search.

Useful Links:

• iNeuron: https://ineuron.ai/
• Python: https://www.python.org/
• JavaScript: https://www.javascript.com/
• FAANG: https://www.investopedia.com/terms/f/faang-stocks.asp