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Bringing Data Science into the Business

Benjamin Culbertson, Emilio Melo, and Paul Foran

Before a business can benefit from data science, it must be ready for it. This skill addresses how data science fits into a business, and how it is used to quantify and solve business problems.

What You'll Learn

Before a business can benefit from data science, it must be ready for it. This skill addresses how data science fits into a business, and how it is used to quantify and solve business problems.

What You'll Learn

Determine if data science is an appropriate fit for a project

Quantify a business problem

Communicate constraints and outcomes of a data science project proposal

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What's inside

Two courses

Communicating Expectations to the Business

(0 hours)

Learn how to manage stakeholders' expectations for a solution, procure data for training a model, and explore synthetic data generation to save your project and budget.

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Understanding Ethical, Legal, and Security Issues in Data Science

(1 hours)

Data is being called the new oil, as you can generate so much value from it. However, if it's not properly secured, compliant, and used ethically, it can quickly go from asset to liability. In this course, you'll learn how to manage data in Azure.

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Time

1 hours

Via

Pluralsight

Institution

Instructors

Benjamin Culbertson

Emilio Melo

Paul Foran

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