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 study group reviews pseudocode examples as they learn how to write pseudocode and its optimal uses.

What Is Pseudocode, and How Does It Help You Think Like a Programmer?

Learn how pseudocode can help you develop a programmer’s mindset and think through the logic of your program and the steps it needs to execute more efficiently.

September 28, 2026

Article

[Featured Image] A data professional uses INDEX MATCH in Excel to look up data in a spreadsheet on their laptop.

INDEX MATCH: A Practical Guide to Flexible Excel Lookups

INDEX MATCH is a powerful Excel lookup method for finding and returning data. Learn how it works, when to use it, and how to avoid common formula mistakes.

September 28, 2026

Article

[Featured Image]: Three people sitting at a table look at a tablet showing data that reflects a Gaussian distribution.

Gaussian Distribution: Definition, Formula, and How to Use It in Excel

Discover how the Gaussian distribution works, what the formula tells you, and how to create a bell curve in Excel.

September 25, 2026

Article

[Featured Image] Learners listen to an instructor providing a lesson on Boolean logic and its role in computer science.

Boolean Logic: Definition, Truth Tables, Operators, and Examples

Learn about Boolean logic and how it structures computing, programming, database search, and more. Explore some of the operators it uses, and what a truth table in Boolean algebra is.

September 22, 2026

Article

[Featured Image] A group of learners looks intently at their computer screens as they interpret the results of principal component analysis as part of their coursework.

Principal Component Analysis (PCA): Definition, How It Works, and Why It Matters

Learn about principal component analysis, including how it works and its real-world applications in areas such as machine learning and data visualization.

September 22, 2026

Article

[Featured image] Two colleagues in a work setting discuss LangChain versus LangGraph as they look at a computer monitor.

LangChain vs. LangGraph: Understanding the Differences and When to Use Each

Explore how to choose between LangChain versus LangGraph, the benefits and limitations of each, and popular use cases. Compare the features and strengths of LangChain and LangGraph to determine which is best for your project.

September 15, 2026

Article