Building an Effective Data Science Practice - A Framework to Bootstrap and Manage a Successful Data Science Practice

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analyst...

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Bibliographic Details
Main Author: Vineet Raina, Srinath Krishnamurthy
Format: eBook
Language:English
Published: Berkeley, CA Apress, an imprint of Springer Nature 2022
Apress
Apress L. P
Edition:1
Subjects:
Artificial Intelligence
Big data
Business
Computer Science
Computer Science, general
COMPUTERS
Data mining
Data Structures and Information Theory
Engineering Management & Leadership
General References
Information technology
Leadership, Coaching & Mentoring
Machine learning
Professional and Applied Computing
Software Engineering
ISBN:9781484274187, 1484274180, 9781484274194, 1484274199
Online Access:Get full text
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Summary:Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation. You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects. This book provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start.
ISBN:9781484274187
1484274180
9781484274194
1484274199
DOI:10.1007/978-1-4842-7419-4