Mastering the MERN Stack

From Basics to Advanced Techniques - A Comprehensive Guide to Full-Stack Web Development

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Mern Stack Training Institute in Pune

Using MongoDB, Express, React, and Node.js, the MERN stack is a well-liked and open-source technological stack for creating full-stack online applications. It is a favorite option for developers wishing to create dynamic, responsive, and high-performing web apps because of its reputation for flexibility, scalability, and efficiency in the creation of contemporary online applications.

What is Mern Stack?

With our training, which is intended for aspiring developers, begin your fascinating adventure into web development. Learn fundamental concepts from beginning, including SQL, HTML, CSS, GIT, React, Redux, Express, NodeJS, MongoDB, and more. We go above and beyond the classroom by providing opportunities for real-world project work and placement assistance. You will have the abilities necessary to excel in your career by the time the program ends. Enroll in the program to advance your web development profession and sharpen your abilities.

Intended Audience

Web Developers and Mobile App Developers keen on developing robust web applications, managing a team of developers, and initiating front-end and back-end support.

Prerequisites

Prior Web Development Experiences and knowledge of HTML, CSS, and JavaScript are mandatory to take up this course.

Syllabus

  • Overview
  • “NoSQL”
  • What is MongoDB?
  • JSON primer
  • When / why should you use
  • Mongo DB?
  • Installation and Administration
  • Installing MongoDB
  • Starting and stopping MongoDB servers
  • The JavaScript consoles
  • MongoDB Basics
  • Servers
  • Databases
  • Collections
  • Documents / Objects
  • CRUD
  • Indexes
  • Clients and drivers
  • Building Application with MongoDB
  • Overview and integration
  • Getting started
  • Examples and labs
  • Advanced querying
  • Projections
  • Conditional operators
  • Limit and skip
  •  
  • Introduction
  • Installation of Express JS along with
  • Hello world program
  • Working with Express.js
  • Installation of Express JS : Assisted Practice
  • Express JS frameworks
  • Working with Express.js frameworks: Assisted Practice
  • Configuration
  • Configuration commands: Assisted Practice
  • Types of Middleware
  • Middleware in Express JS app: Assisted Practice
  • Request Handlers
  • Working with Request Handlers: Assisted Practice
  • Response methods
  • Working with Response methods: Assisted Practice
  • Error Handling
  • Error Handling commands: Assisted Practice
  • CRUD operations
  •  
  • JS Understanding
  • Entering React after learning JavaScript
  • React and JavaScript Classes
  • Arrow Functions in React
  • Functions as Components in React
  • React Class Component Syntax
  • Template Literals in React
  • var, let, and const in React
  • Ternary Operator in React
  • Import and Export Statements in React
  • Libraries in React
  • Async/Await in React
  • Higher-Order Functions in React
  • Shorthand Object Assignment
  • Destructuring in React
  • Spread Operator in React
  • React
  • Hello React
  • Requirements
  • Spread Setting up a React Project
  • Meet the React Component
  • React JSX
  • Lists in React
  • Meet another React Component
  • React Component Instantiation
  • React DOM
  • React Component Definition (Advanced)
  • Handler Function in JSX
  • React Props
  • React State
  • Callback Handlers in JSX
  • Lifting State in React
  • React Controlled Components
  • Props Handling (Advanced)
  • React Side-Effects
  • React Fragments
  • Reusable React Component
  • React Component Composition
  • Imperative React
  • Inline Handler in JSX
  • React Asynchronous Data
  • React Conditional Rendering
  • Data Fetching with React
  • Data Re-Fetching in React
  • Explicit Data Fetching with React
  • Async/Await in React
  • Forms in React
  • Redux
  • Hooks
  •  
  • Introduction
  • What is NodeJS?
  • What is React JS?
  • How React JS and Node JS Work Together
  • About the Course Structure
  • Setting up the Course Project
  • Understanding the Project Structure
  • NodeJS Basics
  • Introduction
  • Understanding the Flow of a Request
  • Working with Requests and Responses
  • Creating Routes and Passing Data
  • Knowledge Injection: Http Methods
  • Knowledge Injection: Data Formats
  • More on NodeJS
  •  

Programming Languages & Tools

Roadmap for data science

Certificates

Obtaining Your Certification

Upon successful completion of any course at Etlhive, participants receive a certificate attesting to their proficiency in the respective subject matter. These certificates serve as tangible evidence of the skills acquired during the training, enhancing the credibility of individuals in the job market and validating their expertise to potential employers. Etlhive certificates are recognized for their industry relevance and are highly regarded by leading organizations, providing a competitive edge to certificate holders. The validation process ensures that the certifications are earned through rigorous learning and assessment methods, reflecting real-world application and mastery of the concepts taught. With Etlhive certificates, individuals can showcase their commitment to continuous learning and professional development, opening doors to new career opportunities and advancement prospects.

Training students for leading brands

Tata Consultancy Services
IBM
Accenture
Amazon
Capgemini
Infosys
GoDaddy
HP

Frequently asked questions

Faqs
Brief explanation of each component: MongoDB, Express.js, React.js, and Node.js.
Data analyst generally works on creation of reports based on company’s data driven KPI’s(generally involves descriptive analytics), whereas Data scientists understand business and domain along with the technicalities to understand what will happen in future(more on descriptive + predictive analytics both)
  1. Machine Learning algorithms are mathematical in nature, hence you need to first understand that part(includes statistics, probability theory, Linear Algebra). Once you know this part, then in order to implement these algorithms on a real life data set, you need a language which contains modules which simplify ML development(like MATLAB, Python, R etc) So, to sum it up: -Maths -Programming -Data manipulation/preprocessing -Machine Learning Algos -Lots of scenarios -End to End projects -Deployment of Models on various cloud platforms.

No prior experience is necessary, but basic understanding of databases would be helpful.

The answer to this is relative based on your previous experience and technology. Kindly have a word with our technical counsellor regarding the same.
The term Data Science is used interchangeably with Datalogy. Data Science employs its theories and techniques from physics, mathematics, nanotechnologies and this list goes to 23 fields. Data Science is considered to be a part of many academic and research areas. Data Science has been employed in fraud monitoring and security. Data Analytics is now increasingly used in multiple sectors and these sectors owe their success to Data Science and Data Analytics

Mention of other stacks like MEAN (MongoDB, Express.js, AngularJS, Node.js) or MEVN (MongoDB, Express.js, Vue.js, Node.js).

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