Meta Backend Coursera

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Launch your career as a back-end developer. Build job-ready skills for an in-demand career and earn a credential from Meta. No degree or prior experience required to get started.

Build Complete Web and Hybrid Mobile Solutions. Master front-end web, hybrid mobile app and server-side development in four comprehensive courses.

Launch your career in data analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Meta in 5 months or less. No degree or prior experience required.

Launch your career in data analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Meta in 5 months or less. No degree or prior experience required.

Clouds, Distributed Systems, Networking. Learn about and build distributed and networked systems for clouds and big data.

Become an SEO Expert. Master search engine optimization tools and strategies.

Spiritual sequel to Peter Thiel's CS183 course on startups. Bridges the gap between academic computer science and production software engineering. Fast-paced introduction to key tools and techniques (command line, dotfiles, text editor, distributed version control, debugging, testing, documentation, reading code, deployments), featuring guest appearances by senior engineers from successful startups and large-scale academic projects. Over the course of the class, students will build a command line application, expose it as a web service, and then link other students' applications and services together to build an HTML5 mobile app. General principles are illustrated through modern Javascript and the latest web technologies, including Node, Backbone, Coffeescript, Bootstrap, Git, and Github.

Kickstart your Career in Data Science & ML. Master data science, learn Python & SQL, analyze & visualize data, build machine learning models.

Prepare for Advanced Computer Science Courses. Learn how to program and think like a Computer Scientist.