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Becoming a Good Data Science Customer

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Author: AD-TEAM
Date added: 04.04.2024 :52:49
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Becoming a Good Data Science Customer

Becoming a Good Data Science Customer
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 52m | 221 MB


Instructor: Howard Friedman
The world of data science has created radical shifts in the way we work, play, shop, socialize, and learn. And as it continues to grow in importance across many different industries, business leaders need to know how to communicate effectively with data science teams to maximize their return on investment. In this course, Columbia University professor Howard Friedman gives you an overview of the most critical questions and tools to probe data scientists about key topics related to data collection, data storage, data analysis, hardware and software, data modeling, ethics, and more.

Along the way, explore the basic technical lingo, recognize the types of talent on the team, and learn how to pose well-formed questions to data scientists to gather better insights, create opportunities, and generate value as well as challenge key assumptions. By the end of this course, you'll be equipped with the right questions and tools to start making more profitable data-driven business decisions.

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