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Full-Stack

Data Science Section

Career Objective

Learn to build responsive and interactive user interfaces (UI) using HTML, CSS, and JavaScript.

Understand relational database management systems (RDBMS) like MySQL or PostgreSQL, and NoSQL databases such as MongoDB.

Familiarize yourself with version control systems like Git and collaborative platforms such as GitHub.

Data Science
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What you will learn?

Front-end Development

  • HTML & CSS: Creating structured and visually appealing web pages using HTML5 and CSS3.
  • JavaScript (ES6+): Programming interactive and dynamic elements on web pages, handling events, and managing asynchronous operations.
  • Front-end Frameworks: Utilizing popular frameworks like React.js or Angular to develop single-page applications (SPAs) and manage state effectively.

Back-end Development

  • Server-side Programming: Developing server-side applications using Node.js, Python (with Flask or Django), or Java (with Spring Boot).
  • RESTful APIs: Designing and implementing APIs to facilitate communication between front-end and back-end systems.
  • Authentication & Authorization: Implementing secure authentication mechanisms and managing user sessions.

Database Management

  • Database Design: Designing optimal database schemas to ensure data integrity and efficient query execution.
  • SQL & NoSQL Databases: Writing complex queries, indexing strategies, and understanding the trade-offs between SQL and NoSQL databases.
  • ORMs (Object-Relational Mappers): Using ORMs like Sequelize (for Node.js), SQLAlchemy (for Python), or Hibernate (for Java) to simplify database interactions.

Full-Stack Development

  • Seamless Integration: Building full-stack applications by integrating front-end interfaces with back-end logic and databases, ensuring smooth communication between all layers of the tech stack.
  • Deployment & DevOps: Managing deployment pipelines, utilizing tools like Docker and Kubernetes for containerization, and automating continuous integration.
  • Performance Optimization: Ensuring application scalability and performance by optimizing both front-end and back-end code, reducing load times, and improving database query efficiency.

MODULE SEQUENCE TO BE FOLLOWED:

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Frontend

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Backend

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DataBase

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This course includes:

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Frequently Asked Questions

This course is ideal for individuals aspiring to become full stack developers, software engineers looking to broaden their skill set, and anyone interested in mastering both front-end and back-end web development technologies.

Basic knowledge of programming concepts (preferably in JavaScript, Python, or Java), familiarity with HTML/CSS, and understanding of web development principles are recommended. No prior experience in full stack development is required, as the course covers foundational to advanced topics.

The course is structured into modules covering front-end development (HTML/CSS, JavaScript, React.js/Angular), back-end development (Node.js, Python/Flask/Django, Java/Spring Boot), database management (SQL, NoSQL), version control (Git), deployment (AWS, Heroku), agile methodologies, security, performance optimization, and project development.

Yes, upon successful completion of the course and projects, you will receive a certificate of achievement. This certificate validates your proficiency in full stack development concepts and practical skills.

This course will prepare you for roles such as full stack developer, web developer, or software engineer, where you will be able to work on both client-side and server-side aspects of web applications. The hands-on projects and portfolio development will enhance your employability in the competitive tech industry.

Relevant Modules

GIT with Docker

Upcoming

AWS Infrastructure

Upcoming

Introduction to DevOps , Linux & Bash Scripting

Upcoming

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