🔰 What Is MERN?

MERN Stack is a Javascript Stack that is used for easier and faster deployment of full-stack web applications. MERN Stack comprises of 4 technologies namely: MongoDB, Express, React and Node.js. It is designed to make the development process smoother and easier.

🔰 MongoDB:

MongoDb is a NoSQL DBMS where data is stored in the form of documents having key-value pairs similar to JSON objects. MongoDB enables users to create databases, schemas and tables.

🔰 ExpressJS

ExpressJS is a NodeJS framework that simplifies writing the backend code. It saves you from creating multiple Node modules.

🔰 ReactJS

ReactJS is a JS library that allows the development of user interfaces for mobile apps and SPAs. It allows you to code Javascript and develop UI components.

🔰 NodeJS

NodeJS is an open-source Javascript runtime environment that allows users to run code on the server.

🌟 JavaScript Roadmap

🔅 REST API Mistakes Every Junior Developer should Avoid

🔰 JavaScript Tutorial for Beginners: Learn JavaScript in 1 Hour

Watch this JavaScript tutorial for beginners to learn JavaScript basics in one hour.

🧿 Bun is disrupting JavaScript land

Let's take a first look at Bun 1.0 - the worlds fastest JavaScript runtime. Find out how Bun compares to Node.js and Deno.

🧿 Bun Crash Course | JavaScript Runtime, Bundler & Transpiler

In this crash course, we will look at the Bun.js JavaScript runtime/bundler/toolkit. I will show you how to get set up and check out some of the features...

©How fresher can get a job as a data scientist?©

Job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from?

The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice.

Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way.

All the major data science jobs for freshers will only be available through off-campus interviews.

Some companies that hires data scientists are:
Siemens
Accenture
IBM
Cerner

Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.