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 group of college students talk while leaving a building on campus.

What College Should I Go To? How to Choose

You’re likely facing one of the biggest decisions you’ve had to make so far. Explore some tips to help make deciding on the college you’ll attend easier.

March 4, 2024

Article

[Featured Image] A digital marketer sits at a laptop and uses data mining to analyze customer behavior.

What Is Data Mining?

Learn more about data mining, including how it works, the different data mining techniques, and the role of machine learning in data mining.

March 4, 2024

Article

[Featured Image] Three smiling multiracial professionals sitting at a table taking notes on paper and laptops.

7 Effective Note-Taking Methods

Do you want to take better notes? Explore seven effective note-taking methods, including the Cornell method, the sentence method, the outlining method, the charting method, the mapping method, the flow-based method, and the rapid logging method.

March 4, 2024

Article

[Featured Image] A person stands in a darkened room lined with video monitors and reviews information on a tablet.

3 Types of Machine Learning You Should Know

Machine learning is an exciting field and a subset of artificial intelligence. Use this guide to discover more about real-world applications and the three types of machine learning you should know.

March 4, 2024

Article

[Featured Image] A data scientist is writing code on their computer with multiple monitors and is using data analytics as well.

Data Science vs Data Analytics: Which Should You Choose?

Data scientists primarily use data science in their careers, while data analysts use data analytics. We will explore how these roles differ regarding skill sets, responsibilities, and career outlook.

March 4, 2024

Article