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
Frequently Asked Questions
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