EdX

Introduction to Node.js (edX)

Introduction to Node.js (edX)

Get started with Node.js, the most popular open source JavaScript runtime. Discover the ways in which Node.js helps in everyday computing scenarios, from service-mocking, rapid-prototyping and real-time applications, to Command Line Interfaces (CLI).

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Introduction to Node.js is designed for frontend or back-end developers who would like to become more familiar with the fundamentals of Node.js and its most common use cases. Before enrolling, students should know how to use a command line terminal, and have some familiarity with JavaScript.
In this course, you will learn how to rapidly build command line tools, mock RESTful JSON APIs and prototype real-time services. You will also discover and use various ecosystem and Node core libraries, and come away understanding common use cases for Node.js.
By immersing the student in a full-stack development experience, this course helps to bring context to Node.js as it relates to the Web Platform while providing students with a pragmatic foundation in building various types of real-world Node.js applications. At the same time, the general principles and key understandings introduced by this course can prepare the student for further study towards the OpenJS Node.js Application Developer (JSNAD) and OpenJS Node.js Services Developer (JSNSD) certifications.

What you'll learn

  • How to rapidly build command line tools.
  • How to rapidly mock RESTful JSON APIs.
  • How to rapidly prototype real-time services.
  • Discover and use ecosystem utilities.

Syllabus

Welcome!
Chapter 1: Setting up
Chapter 2: Service Mocking
Chapter 3: Going Real-Time
Chapter 4: Building CLI Tools
Chapter 5: Navigating the Ecosystem
Chapter 6: What’s Next?
Final Exam (Verified Certificate track only)

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

AWS Cloud Practitioner Essentials (Coursera) Coursera
AWS

AWS Cloud Practitioner Essentials (Coursera)

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understand of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

Aug 10th 2026
5-12 Weeks
AWS Cloud Technical Essentials (edX) EdX
AWS

AWS Cloud Technical Essentials (edX)

Kick off your cloud career by learning the fundamentals of AWS products, services, and solutions and basic concepts of database, storage, networking, security and cloud computing. Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, this course is an ideal way to start, as it requires no prior knowledge of cloud computing or AWS products and services.

Self Paced
Self-Paced
Advanced Database Queries (edX) EdX
New York University,NYUx

Advanced Database Queries (edX)

Learn the fundamentals of interacting with relational database management systems, including issuing advanced queries that return complicated results sets. This course is a continuation of the basic concepts, organization, and implementation models taught in the Introduction to Databases course, with an emphasis on the relational model. Among the topics covered are the development of advanced queries that utilize aggregation, subqueries and built-in functions.

Self Paced
Self-Paced
Django Application Development with SQL and Databases (edX) EdX
IBM

Django Application Development with SQL and Databases (edX)

This course introduces you to the basics of SQL, Django and Bootstrap. You will gain hands-on practical experience developing and deploying a full-stack Django web application on the cloud. This course introduces you to the basics of SQL, a simple and powerful programming language for querying and managing data, and the fundamentals of cloud databases. You will discover Object-Relational Mapping (ORM), and how to use Object-Oriented Programming (OOP) languages to work with databases.

Self Paced
Self-Paced
La recherche documentaire (Coursera) Coursera
École Polytechnique

La recherche documentaire (Coursera)

Ce cours vise principalement à permettre aux étudiants d’identifier les sources pertinentes dans un domaine donné, leur apprendre à construire un état de l’art et à évaluer les sources, en particulier celles en accès libre sur Internet. Il cherche également à optimiser la recherche documentaire en incitant les étudiants à tirer le meilleur parti des outils et requêtes d’interrogation des bases de données. A l'issue de ce cours, ils devront être capables de construire et alimenter une bibliographie ordonnée, ainsi que de citer convenablement leurs sources pour éviter le plagiat.

Aug 3rd 2026
3 Weeks
SQL for Data Science (edX) EdX
IBM

SQL for Data Science (edX)

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field. Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases.

Self Paced
Self-Paced
Modelos de Regresión Lineal y Pronósticos (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Modelos de Regresión Lineal y Pronósticos (edX)

En este curso se aplican fundamentos estadísticos y econométricos para analizar bases de datos; lo anterior, con el fin de identificar el comportamiento de variables y su relación con otras variables. En el curso también aplican técnicas básicas de pronósticos a través de diferentes metodologías. Se considera que las herramientas impartidas en este curso pueden ser de gran apoyo para los tomadores de decisiones ya que con el análisis de datos se pueden tomar decisiones más precisas y mejor fundamentadas.

Self Paced
Self-Paced