Coursera Staff

Editorial Team

Bio

Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact-checkers. Our articles are deeply researched and thoroughly reviewed to ensure we are providing trustworthy information and advice for any topic. We understand that taking the next step in your education or career can raise questions. We are here to provide actionable, reliable, and relevant answers so you can achieve your goals.

Articles

[Feature Image: woman using an AI assistant on her smartphone while working]

What is Natural Language Processing? Definition and Examples

Natural language processing ensures that AI can understand the natural human languages people speak every day. Learn more about this impactful AI subfield.

November 29, 2022

Article

[Featured Image] A professional sits on a large window sill and gazes at green trees while holding a tablet.

Sustainable Development: Goals, Importance, and Career Guide

Here’s what you should know about sustainable development, the SDGs, its importance, and how you can take action.

November 29, 2022

Article

[Featured Image]: Public Health manager discussing sustainability concepts with the team.

What Is Sustainability? (And Why Is It Important?)

Learn about the concept of sustainability and why it’s important for maintaining a balance between the environment and economic growth.

November 29, 2022

Article

[Featured image] Two data scientists examine graphs and charts on a large white board

Structured vs. Unstructured Data: What’s the Difference?

Explore the key differences between structured and unstructured data, including how they are organized, stored, and processed. Learn their impact on data analysis and discover various career paths in this field.

November 29, 2022

Article

[Featured Image] An abstract art design of blue waves and binary code.

What Are the Differences Between Machine Learning and AI?

Explore the differences between AI and machine learning (ML), their real-world applications, and their benefits. This guide provides explanations of AI and ML concepts, examples in various industries, and future insights of these technologies

November 29, 2022

Article