Resources > Ebooks

Pragmatic Institute Data Science Glossary

What is a data custodian? How about a data engineer? From HiPPO to Python, data wrangling to deep learning, our Data Science Glossary defines the industry terms you should know, no matter your role in the data landscape.

Want to deliver critical insights that power business strategy? Our course, Business-Driven Data Analysis teaches a proven and repeatable approach you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights.

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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.

OTHER EbookS

Ebook

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
Define: Laying the Foundation Successful Data Analysis
Ebook

Define: Laying the Foundation for Successful Data Analysis

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

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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.

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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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