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Analyzing Business Requirements for Data Science

This course takes you through the complete lifecycle of a data science project from proposal right through to the approval stage. It provides you with some invaluable insights on stakeholder management during this journey.

Beginner
50m
(122)

Created by Paul Foran

Last Updated Jul 08, 2024

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  • Course

Analyzing Business Requirements for Data Science

This course takes you through the complete lifecycle of a data science project from proposal right through to the approval stage. It provides you with some invaluable insights on stakeholder management during this journey.

Beginner
50m
(122)

Created by Paul Foran

Last Updated Jul 08, 2024

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What you'll learn

Data Science has certainly become a ‘hot topic’ for all businesses. Investing in Data Science activities for your business can certainly yield some hidden gems in your data sets and lead to valuable IP or improvements in operational efficiencies for your organization! In this course, Analyzing Business Requirements for Data Science, you will learn the strategic, practical and technical skills to discover if data science can indeed benefit your organization. First, you will see how to gather and manage the right stakeholders with a view to providing a solid Data Science story to your company that adds REAL business value. Next, you will discover how to determine and risk assess your data science business and technical requirements. Finally, you will explore how to quantify the business problems and learn what to do when mitigating the risk of a project not yielding business value. When you're finished with this course, you will have the skills and knowledge of Analyzing business requirements for data science needed to guide you through the process of managing and delivering a data science project to your organization

Analyzing Business Requirements for Data Science
Beginner
50m
(122)
Table of contents

About the author
Paul Foran - Pluralsight course - Analyzing Business Requirements for Data Science
Paul Foran
1 courses 3.8 author rating 122 ratings

Paul is a real-world experienced and practical guy. He consults with the European Space Agency, Universities, and high profile companies to help them leverage cloud-based technologies to solve their Big Data problem. Paul also runs the "Dublin Bigdata and IoT" meetup. He also has that right balance between DevOps, Infrastructue, and Software Development in the Big Data and IoT sectors.

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