Data + Analytics Articles

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Terry Schulenburg Terry Schulenburg
Updated on May 03, 2023

5 Ways Facial Recognition Is Making Waves Across Industries

Facial recognition technology offers security and convenience in manufacturing, retail and hospitality.

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Beerud Sheth Beerud Sheth
Updated on April 19, 2023

Is Generative AI the Next Tech Bubble?

A commitment to transparency, fairness and accountability can keep it from popping.

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Peter Wang Peter Wang
Updated on March 15, 2023

Mentorships Are the Key to Advancing Data Science

No one can go it alone. Good advisors and industry-wide cooperation are needed to advance the field.

Kerry Halladay Kerry Halladay
Updated on March 15, 2023

The Many Paths to a Data Science Career

From zoology and physics to designing algorithms.

Parul Pandey Parul Pandey
Updated on March 15, 2023

Your Job Descriptions Are Biased. AI Can Help.

This open-source Python development framework can help you quantify and eradicate unconscious bias in job descriptions.

Bushra Anjum Bushra Anjum
Updated on March 15, 2023

Congratulations on Your Data Science Degree. There’s Still a Lot Left to Learn.

The working world has different motivations and expectations than your professors did. Read on to learn what being a data scientist is really like.

Kerry Halladay Kerry Halladay
Updated on March 15, 2023

How Data Scientists Can Tap Into the Hidden Job Market

Not all jobs are posted publicly. Here’s how to find them.

Bahar Salehi Bahar Salehi
Updated on March 15, 2023

Is It Time for Your Startup to Hire a Data Scientist?

Before you hire a data scientist, make sure you understand the stages of the startup lifecycle. You might not be ready.

Boris Paskhaver Boris Paskhaver
Updated on March 15, 2023

What Is Data Analysis? Learn How to Derive Key Insights From Your Data.

Data analysis is the process of extracting key insights from data sets. Here's what you need to know.

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Dawn Kawamoto Dawn Kawamoto
Updated on March 15, 2023

Data Analyst vs. Data Scientist: Similarities and Differences Explained

A data analyst reviews company data to assess its current situation while a data scientist uses coding and advanced modeling techniques to answer current and future company questions.

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