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Demystifying Data Projects Ebook

While data science is a competitive advantage, data isn’t magic. If you work closely with your data partners to develop and refine those questions, that’s where the magic happens. Armed with the knowledge of types of data projects, sample questions, tools and methods, key points and caveats—stakeholders like you can create an open dialogue with your data partners. In this eBook, learn how to connect the question you’re asking to the analysis required—as well as the time, interpretability and cost involved—to ensure you’re initiating data projects with real business impact, from reducing costs to informing strategy.

To learn more about driving value with data projects, and to access more actionable resources like this eBook, register for our new course Data Science for Business Leaders.

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  • Pragmatic Institute is the transformational partner for today’s businesses, providing immediate impact through actionable and practical training for product, design and data teams. Our courses are taught by industry experts with decades of hands-on experience, and include a complete ecosystem of training, resources and community. This focus on dynamic instruction and continued learning has delivered impactful education to over 200,000 alumni worldwide over the last 30 years.

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Map Your Message to Its Audience with the Communication Compass
Map Your Message to Its Audience with the Communication Compass
Ensure your message hits the mark. This eBook helps you visually map communication styles so you can tailor your design story to a stakeholder or business partner.

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Demystifying Data Projects: A Guide for Business Leaders
While data science is a competitive advantage, data isn’t magic. Learn how to make magic happen by partnering more effectively with data professionals. This eBook delves into types of data projects, sample questions, tools and methods, key points and cautions—so stakeholders like you can initiate data projects with real business impact.

Download Ebook

Define Ebook Thumbnail
What’s the difference between a successful data analysis project and one that falls flat? 

Before you begin working with the data, you need to understand what you’re solving for. Gathering context and aligning around goals with your stakeholders from the outset will help you avoid disconnects and deliver actionable insights. Discover the most vital questions to ask before embarking on a data analysis project in our in-depth guide, “Define: Laying the Foundation for Successful Data Analysis.”

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