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.

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[Featured Image] Coworkers discuss the roles of data science vs. computer science in determining company processes and decisions.

Data Science vs. Computer Science: What’s the Difference?

Both data science and computer science are prominent technology fields today. Discover the similarities and differences between data science vs. computer science.

March 18, 2025

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[Featured Image] Two data visualization analysts review charts and graphs on a computer screen in an open workspace.

The Role of a Data Visualization Analyst

Discover what a data visualization analyst is, the education and required skills needed to progress in the field, and potential career growth opportunities.

March 18, 2025

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[Featured Image] Two professionals use data visualization examples to explain their newest operational strategies.

Data Visualization Examples: Tools and Real-life Applications

Data visualization, or using data in a visual form like a chart or infographic, can help you communicate ideas quickly and draw new insights from data. Explore real-world data visualization examples.

March 18, 2025

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[Featured Image] A professional researches the average data visualization salary on a laptop while in their kitchen as they plan a potential career change.

Data Visualization Salary Guide 2026

Explore the average data visualization salary and how factors like education, experience, and location affect how much you can earn.

March 18, 2025

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[Feature Image] A learner meets with their teaching assistant to review discriminative vs. generative models and gain a deeper understanding of the differences.

Discriminative vs. Generative Models: What’s the Difference?

You can use discriminative models to classify data into categories and generative models to generate new images, text, or other data. Explore the differences between discriminative and generative models.

March 18, 2025

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[Feature Image] A learner searches online, asking, “Do you need a bachelor’s to get a master’s degree?” as they plan their educational pathway.

Do You Need a Bachelor’s to Get a Master’s Degree?

Explore whether you need a bachelor’s degree to earn a master’s degree, what alternative educational pathways may be available, and questions to ask yourself when determining the right pathway for you.

March 18, 2025

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