Algorithms in JavaScript Cracking Coding Interviews

Algorithms in JavaScript – Cracking Coding Interviews, available at $39.99, has an average rating of 3.7, with 58 lectures, based on 34 reviews, and has 246 subscribers.

You will learn about Learn to quickly implement popular data structures and algorithms Crack technical interview easily with real world problem solving techniques Understand the core concepts behind Algorithms Learn to create real world implementation in JavaScript This course is ideal for individuals who are Software developers who want to learn implementation of popular algorithms will greatly beneft from this course or Anyone appearing for job Interviews will also find this course very useful It is particularly useful for Software developers who want to learn implementation of popular algorithms will greatly beneft from this course or Anyone appearing for job Interviews will also find this course very useful.

Enroll now: Algorithms in JavaScript – Cracking Coding Interviews

Summary

Title: Algorithms in JavaScript – Cracking Coding Interviews

Price: $39.99

Average Rating: 3.7

Number of Lectures: 58

Number of Published Lectures: 58

Number of Curriculum Items: 58

Number of Published Curriculum Objects: 58

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to quickly implement popular data structures and algorithms

Crack technical interview easily with real world problem solving techniques

Understand the core concepts behind Algorithms

Learn to create real world implementation in JavaScript

Who Should Attend

Software developers who want to learn implementation of popular algorithms will greatly beneft from this course

Anyone appearing for job Interviews will also find this course very useful

Target Audiences

Software developers who want to learn implementation of popular algorithms will greatly beneft from this course

Anyone appearing for job Interviews will also find this course very useful

The
most important tool that you can arm yourself with as a programmer is
coding algorithms. Algorithms are the building blocks of coding,
which means in order to write any program successfully you would need
to write your own algorithm.

As
each program grows, you cannot physically write every code for every
bit of your website or your program, which is where these algorithms
come handy. They are basically a set of rules that you give to the
computer to help them solve certain problems. They
not only simplify your life as a coder, but also help your
computer perform tasks faster and efficiently.

Starting
your journey as a programmer with the right tools in hand is
important and this is why we have created this beginners guide to
coding algorithms to help you maximize your potential as a
programmer.

In
this course, you will start at the very beginning
and understand what exactly
algorithms are, why they are important, the different types of coding
algorithms, how to write
algorithms, and even how to implement them into your JavaScript code.

That’s
not all, we will also help you crack the most common interview
questions that are asked during a technical round.

This
extensive coding algorithms course aims
to help you start at the
very beginning and break
down the complex programming principles into simple and easy to
understand segments. While
we cover theory extensively, we do not simply stop there. We also
focus on the implementation of the different algorithms, which means
that in addition to understanding
how to write the code, you will also see the code in action.

The
course will cover various topics such as an overview of Algorithms,
how to ace a technical interview on algorithms, different sorting
algorithms (Quick sort, Merge Sort, Shell Sort, Heap Sort, etc.),
different search algorithms (Linear, Binary), Advance Algorithms
(Palindrome, Armstrong and Fibonnaci Sequence), String Manipulation,
Trees, Graphs and so much more!

So,
what are you waiting for? Enroll now and become
a professional programmer!

Course Curriculum

Chapter 1: Understanding Course

Lecture 1: Intro

Lecture 2: Overview of Course

Lecture 3: Understanding Technical Interview

Lecture 4: At the Technical Interview

Lecture 5: Approaches of Algorithm

Chapter 2: Sorting Algorithms

Lecture 1: Quick Sort Algorithm

Lecture 2: Understanding Quick Sort

Lecture 3: Implementation of Quick Sort with JS

Lecture 4: Merge Sort Algorithm

Lecture 5: Understanding Merge Sort Final

Lecture 6: Implementation of Merge Sort in JS

Lecture 7: Shell Sort Algorithm

Lecture 8: Algorithm Analysis Shell Sort

Lecture 9: Understanding Shell Sort Algorithm Final

Lecture 10: Implementation of Shell Sort with JS

Lecture 11: Heap Sort

Lecture 12: Implementation of Heap Sort with JS

Lecture 13: Understanding heap Sort Final

Chapter 3: Search Algorithms

Lecture 1: Understanding Linear Search Algorithm

Lecture 2: Linear Search algorithm example- Final

Lecture 3: Implementation of Linear Search with Example

Lecture 4: Finding Minimum And Maximum Value in an array

Lecture 5: Binary search Algorithm

Lecture 6: Binary Search Algorithm Example

Lecture 7: Implementation of Binary Search with example

Lecture 8: Counting Occurences

Chapter 4: Illustrations of Algorithms

Lecture 1: Understanding Palindrome Number

Lecture 2: Palindrome Number is JS

Lecture 3: Understanding Armstrong Number

Lecture 4: Armstrong Numbger is Js

Lecture 5: Understanding Double Armstrong Number

Lecture 6: Double Armstrong Number in Js

Lecture 7: Anagrams

Lecture 8: Anagrms in Js

Lecture 9: What are Fibonnaci Series

Lecture 10: Implementation of Fibonnaci Series

Chapter 5: Advanced Algorithms

Lecture 1: Dynamic Programming

Lecture 2: Finding longest common string of two strings-Final

Lecture 3: Greedy Algorithms

Lecture 4: First Greedy Algorithm Coin Chnaging Problem

Lecture 5: Knapsack Problem

Lecture 6: Greedy Algorithm solution to the knapsack problem

Lecture 7: Resulation Combination Using Knapsack

Chapter 6: String Manipulation

Lecture 1: Three Ways to Reverse a String

Lecture 2: Finding Vowels in JS

Lecture 3: Dtring Function Implementation

Chapter 7: Trees

Lecture 1: Building a Binary Search Tree

Lecture 2: Binary Search Tree Implementation

Lecture 3: Searching for Minimum and maximum value

Lecture 4: Searching For A Specific Value

Chapter 8: Graphs

Lecture 1: Graph Data Structure

Lecture 2: Building a Graph in JS

Lecture 3: Depth First Traversal

Lecture 4: A-Implementation of Depth First Traversal-new

Lecture 5: B-Analysing Output

Lecture 6: Breadth First Tranversal

Lecture 7: Implementation of Breadth First Traversal in JS

Lecture 8: Bonus Lecture: More Interesting Stuff, Offers and Discounts

Instructors

Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses

Eduonix-Tech .

Samy Eduonix

Rating Distribution

1 stars: 3 votes

2 stars: 6 votes

3 stars: 5 votes

4 stars: 10 votes

5 stars: 10 votes

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