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    The Pragmatic Editorial Team comprises a diverse team of writers, researchers, and subject matter experts. We are trained to share Pragmatic Institute’s insights and useful information to guide product, data, and design professionals on their career development journeys. Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Since 1993, we’ve issued over 250,000 product management and product marketing certifications to professionals at companies around the globe. For questions or inquiries, please contact [email protected].

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The Data Incubator is Now Pragmatic Data

As of 2024, The Data Incubator is now Pragmatic Data! Explore Pragmatic Institute’s new offerings, learn about team training opportunities, and more.
Category: Data Science
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10 Technologies You Need To Build Your Data Pipeline

Many companies realize the benefit of analyzing their data. Yet, they face one major challenge. Moving massive amounts of data from a source to a destination system causes significant wait times and discrepancies. A data...
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Which Machine Learning Language is better?

Python has become the go-to language for data science and machine learning because it offers a wide range of tools for building data pipelines, visualizing data, and creating interactive dashboards that are smart and intuitive. R is...
Category: Data Science
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Data Storytelling

Become an adept communicator by using data storytelling to share insights and spark action within your organization.
Category: Data Science
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AI Prompts for Data Scientists

Enhance your career with AI prompts for data scientists. We share 50 ways to automate routine tasks and get unique data insights.
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OTHER ArticleS

Article

The Data Incubator is Now Pragmatic Data

As of 2024, The Data Incubator is now Pragmatic Data! Explore Pragmatic Institute’s new offerings, learn about team training opportunities, and more.
Category: Data Science
Article

10 Technologies You Need To Build Your Data Pipeline

Many companies realize the benefit of analyzing their data. Yet, they face one major challenge. Moving massive amounts of data from a source to a destination system causes significant wait times and discrepancies. A data...

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