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

[Featured Image] A mentor shows a new employee how to use AI tools to improve data quality as part of their workflow.

10 AI Tools to Improve Data Quality (and How to Use Them)

You can use AI tools to improve data quality across various stages of the data lifecycle, including data cleaning, validation, and enrichment. Discover how to use AI to improve data quality and why these tools matter.

November 16, 2025

Article

[Featured Image] Two colleagues discuss how using AI for scheduling streamlines operations and boosts productivity in their workplace while reviewing tool options on a tablet in a break area.

AI for Scheduling: 6 Tools to Streamline Work in 2026

Learn about tools that allow you to harness the power of AI for scheduling, including what they are, how they work, and how they can benefit you professionally.

November 16, 2025

Article

[Featured Image] A developer works at a computer, building a progressive web app.

What Is Progressive Web App Development?

Discover what progressive web app development is and why it matters. Learn how to create progressive web apps and the benefits they offer.

November 16, 2025

Article

[Featured Image] Two colleagues review their programmatic ad buying strategy on one of their desktop computers in a sunny office.

What Is Programmatic Ad Buying and How Does It Work?

Discover how programmatic ad buying works through real-time bidding, direct inventory arrangements, and curated publisher auctions while exploring ad formats, platforms, and campaign setup tips.

November 16, 2025

Article

[Featured Image] Three professionals in the banking industry use machine learning for fraud detection as they look at a computer screen.

Machine Learning for Fraud Detection: Techniques, Applications, and Career Paths

Discover different types of machine learning for fraud detection to determine which algorithm is best suited for your needs. Plus, explore career paths and how to build your own model.

November 16, 2025

Article