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 data manager works on a source system on their laptop.

Source System: Understanding Its Role in Data Management

Source systems are a key part of data management. Learn more about source systems, including the benefits of source system data and jobs that use source systems.

March 18, 2025

Article

[Featured Image] A learner smiles at their laptop as they prepare for the Splunk certification while studying at home.

What Is Splunk Certification?

Discover all the details of Splunk certification, from the popular types of certification to the resources available to empower you on your journey.

March 18, 2025

Article

[Feature Image] A sports statistician reviews sports analytics and data visualizations before making a presentation about team performance.

What Is a Sports Statistician? + How To Become One

Learn about the growing field of sports analytics as you explore the career of a sports statistician helping players and sports organizations grow.

March 18, 2025

Article

[Featured Image] A data scientist dressed in business casual attire sits at their home office and studies statistical learning vs. machine learning on their computer.

Statistical Learning vs. Machine Learning: What’s the Difference?

Explore different ways to analyze your data by learning more about statistical learning versus machine learning, when to use each, and what to consider when choosing your model.

March 18, 2025

Article

[Feature Image] A learner works with synthetic data sets on their laptop as part of their coursework.

Synthetic Data Sets: Data Generation for Machine Learning

Synthetic data makes data more accessible and provides the training materials you need to create machine learning algorithms. Explore why synthetic data sets are important and synthetic data use cases like medical research and autonomous vehicles.

March 18, 2025

Article