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

[Video thumbnail] AI Chatbots Decoded

Understanding Chatbots: Types, Uses & Future of AI Communication [VIDEO]

Curious about the technology behind those helpful chat windows? Dive into the world of chatbots and discover how they're transforming business communication!

August 11, 2025

Article

[Featured Image] A business person sits at an office desk using two computer screens as they import XML to Google Sheets.

How to Import XML to Google Sheets

XML is a great markup language for data that you want to send to multiple sources or computer systems. Learn about three different methods you can use to import XML into Google Sheets for further processing.

August 10, 2025

Article

[Video thumbnail] Career Change at 30? Here's WHy It's the Perfect Time!

Career Change at 30: Why It’s Actually a Great Time (5-Step Guide) [VIDEO]

Feeling stuck in your career at 30? You're not alone—and you're definitely not too late! With 30-40 years of work ahead, your thirties are actually a great time for a strategic career change.

August 8, 2025

Article

[Video thumbnail] Google Data Analyst Career Paths

3 High-Paying Career Paths After Google Data Analytics Certificate [VIDEO]

Looking to transform your career? Discover three in-demand career paths you can pursue after completing the Google Data Analytics Professional Certificate on Coursera!

August 8, 2025

Article

[Video thumbnail] Choosing a Major

What Should I Major In? [VIDEO]

Choosing a major is an important moment in your college experience. Find out how to select a major that aligns with your values and career goals.

August 8, 2025

Article

[Featured Image] A machine learning engineer analyzes data using VAEs while looking at a handheld device and two laptops in a sunny office.

Variational Autoencoder (VAE) Uses and Benefits

VAEs are machine learning models that encode data to latent space before decoding the data with white noise to create a unique entity. Learn more about how variational autoencoders work and what you can use them for.

August 6, 2025

Article