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Ebook

Demystifying Data Projects

While data science is a competitive advantage, data isn’t magic. Working closely with your data partners to develop questions is where the magic happens. In this ebook, learn how to connect the question you’re asking to the analysis required to ensure the findings will have real business impact.
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
Cover Image of Pragmatic Institute Data Team Members Glossary
Ebook

Data Team Members Glossary

What is the difference between a data engineer and a data architect? What are the responsibilities of a data analyst vs. data scientist? What languages does a database administrator need to know?  And how does
Ebook

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
Ebook

Enabling Data Science to Speak the Language of the Business: Delivering Value to the C-Suite

In today’s business environment, data is a vital asset. It can be leveraged to deliver insights into customers, assess opportunities, and drive operational excellence across all business processes. However, there is a communications gap between
Ebook

Data Science Primer

Data literacy is a critical skill in an organization. This Data Science Primer demystifies common data science terminology and connects it to the goals and processes already present in your organization. Do you want your

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