Overview
- Explores how you can use business strategies within your data science projects to best harness your technical skills
- Teaches you how to contextualize and present your technical data science with end users in mind
- Covers salesmanship, project estimation, and presentation and maintenance of completed models for best results
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Table of contents (8 chapters)
Keywords
About this book
The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models.
Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product’s intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.
Who This Book Is For
Early-career data scientists, managers of data scientists, and those interested in entering the fieldof data science
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Managing Your Data Science Projects
Book Subtitle: Learn Salesmanship, Presentation, and Maintenance of Completed Models
Authors: Robert de Graaf
DOI: https://doi.org/10.1007/978-1-4842-4907-9
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Robert de Graaf 2019
Softcover ISBN: 978-1-4842-4906-2Published: 08 June 2019
eBook ISBN: 978-1-4842-4907-9Published: 07 June 2019
Edition Number: 1
Number of Pages: XII, 144
Number of Illustrations: 5 b/w illustrations
Topics: Big Data, Big Data/Analytics, Project Management, Business Strategy/Leadership, Careers in Business and Management, Coaching