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Algorithms in JavaScript : Design techniques

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Udemy

Algorithm Design Techniques : Live problem solving in Java Script

 

Algorithms are everywhere! One great algorithm applied sensibly can result into a System like GOOGLE!

 

Larry Page, founder of google designed “Page Rank” algorithm that is behind the search in google. That is why when we search on google we generally find the most relevant result on the First Page itself.

 

Every Computer Programmer should learn how to design algorithms which are not only correct but also efficient in terms of

 

TIME and SPACE!

 

Completer scientists have worked from 100s of years !! - (Put images of some of the scientists…)

 

And derived some of the techniques that can be applied to write and design algorithms!

 

So Why to reinvent the wheel ??

 

Let’s go through some of the most famous algorithm design techniques in this course!!

 

Once you will come to know these design techniques It will become very easy for you to approach a problem by identifying which technique to apply to solve that correctly and efficiently.

 

We will start this course with some measurement techniques in algorithms that is called complexity analysis so that we can measure -

 

The time and space in an algorithm when we design that.

 

Then we will start with understanding recursion and deep dive into that.

 

Recursion is the base of any algorithm design … because most of the algorithms has to be solved using recursion!

 

Recursion is executed in computers in a very special way using stack frames… we will understand all that..

 

There are many types of recursion and we will have a look into that.

 

We will solve some classic problems like the Tower of Hanoi, Binary subtree… to understand the recursion deeply…

 

And WE WILL WRITE THE CODE LINE BY LINE IN JAVA !! To make it very easy to understand and code…

 

Then we will move into another design technique backtracking !!

 

Backtracking algorithms are enhanced recursion where we can revert our decision from inside a recursion…

 

We will understand how to Identify and approach this kind of problems..

 

Also, we will solve some classical problems

 

Rat In Maze, NQueens, KnightsTour problems… and Code them LINE by LINE …

 

Then, We will then move to the next section

 

Divide and Conquer… Greedy algorithms

 

And will take the same approach !! To understand identify and Solve some problems… and code some classic problems.

 

Then there will be a very important section! Dynamic programming

 

That is not only important for Algorithms design but also, Interviews

 

This is a very favorite paradigm for the interviewer to ask questions from - We will solve a lot of problems in section along with code… and understand how to approach this kind of problem!!

 

All in all!

 

By the end of this course -

 

    1. You will understand how to design algorithms

    2. A lot of coding practice and design live problems in Java

    3. Algorithm Complexity analysis

AND

If you are preparing for your coding Interview or doing competitive programming

 

This course will be a Big help for you!

 

I think this is enough to create the THRILL !! I welcome you to the course and I am sure this will be fun!!

 

If it does not - It comes with a 30 Days money-back guarantee so don’t think twice to give it a shot…

 

Welcome Again !! And See you in the course.

Course
Intermediate
Careers

Careers Related to Algorithms in JavaScript : Design techniques

Certifications

Certifications related to Algorithm or JavaScript or JavaScript Design Patterns or Data Structures and Algorithms

General Assembly’s Data Science part-time course is a practical introduction to the interdisciplinary field of data science and machine learning, which lies at the intersection of computer science, statistics, and business. You will learn to use the Python programming language to acquire, parse, and model data for informing business strategy. 

This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics. There is an option to complete up to 25 hours of online preparatory lessons. Talk to the General Assembly Admissions team to discuss your background and confirm if this is the right fit for you..

 

What you'll accomplish

A significant portion of the course is a hands- on approach to fundamental modeling techniques and machine learning algorithms. You’ll also practice communicating your results and insights by compiling technical documentation and a stakeholder presentation. Throughout this expert-designed program, you’ll:

  • Perform exploratory data analysis with Python.
  • Build and refine machine learning models to predict patterns
  • from data sets.
  • Communicate data-driven insights to technical and non-technical audiences alike.
  • Apply what you’ve learned to create a portfolio project: a predictive model that addresses a real-world data problem.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

Udacity
Intermediate
4 months
10 hours

General Assembly’s Software Engineering Immersive is a transformative course designed for you to get the necessary skills for a coding role in three months. 

The Software Engineering bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you’ll have a portfolio of projects that show your knowledge of fundamental programming concepts, as well as experience with languages, frameworks, and libraries that employers demand. Throughout this expert-designed program, you’ll:

  • Create a front-end web application with modern JavaScript frameworks such as Angular or React.

  • Develop and deploy full-stack applications with in-demand technologies such as Ruby on Rails, Python with Django, and Express with Node.js.

  • Build secure full-stack applications by leveraging common design and architectural patterns like model–view–controller (MVC) and Representational State Transfer (REST).

  • Practice version control and collaborative software development with Git and GitHub.

  • Safely model and store data in SQL and NoSQL databases.

  • Consume and integrate third-party application programming interfaces (APIs) in an application.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation.  General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team

 

 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

Udacity
Intermediate
4 months
10 hours

In this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices.

Udacity
Intermediate
4 months
10 hours
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