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 man and a woman are in an office. They are sitting at a desk looking at a computer discussing the difference between HTML and XML forms.

Difference Between HTML and XML: Find the Right Language for You

HTML and XML are popular languages for building, designing, and storing web content and data. Discover the difference between HTML and XML, along with their pros and cons.

August 7, 2024

Article

Un spécialiste de l'assistance informatique lit les adresses MAC sur son téléphone tout en marchant et en tenant une tasse.

Qu'est-ce qu'une adresse MAC ?

Découvrez ce que sont les adresses MAC afin de mieux comprendre leur importance pour les systèmes d'exploitation des ordinateurs.

August 6, 2024

Article

[Featured Image] A data analyst looks at her computer monitor and holds a graph as she studies data using logistic regression.

Logistic Regression: An Overview

Learn what logistic regression is, what types of logistic regression you can perform, and how it differs from linear regression.

August 6, 2024

Article

[Featured image] A patient advocate in blue scrubs and a stethoscope goes over some documents with a patient in a pink shirt.

What Does a Patient Advocate Do?

Learn about a patient advocate's role in navigating patients through the healthcare system.

August 6, 2024

Article

[Featured Image] Two data analysts confer about data analysis methods in front of a laptop while sitting in a boardroom that has a large display of various types of graphs on a screen in the background.

7 Data Analysis Methods to Know

Learning to harness the power of data analysis can expand your professional insights and improve your decision-making process. Explore data analysis and the different methods you can use to extract insights from data in more detail.

August 6, 2024

Article

[Featured Image] A female supervisor sits across the desk from a male job candidate asking PySpark interview questions.

8 PySpark Interview Questions and How to Answer Them

Learn more about machine learning in PySpark and prepare for your interview with this roundup of eight common PySpark interview questions.

August 6, 2024

Article