Full-Stack Web Development

Full-Stack Web Development is the practice of developing both the front end (client side) and the back end (server side) of a web application. Coursera's Full-Stack Web Development catalogue imparts robust knowledge on the complete process of web application development. You'll learn about front-end technologies like HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. On the back-end, you'll cover server-side programming languages like Node.js, Python, Ruby, or PHP, and databases like SQL or MongoDB. This skill set will enable you to build, deploy, and maintain web applications from scratch, orchestrating both client and server-side operations.
30credentials
2online degrees
93courses

Results for "full-stack web development"

  • Skills you'll gain: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

  • Skills you'll gain: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

  • Skills you'll gain: Full-Stack Web Development, Data Ethics, Machine Learning Algorithms, File Systems, SQL, Graph Theory, Database Systems, Software Development Methodologies, Database Management Systems, Statistical Methods, Data Wrangling, Software Engineering, Theoretical Computer Science, Application Security, Cryptography, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Natural Language Processing