November 2019
Beginner to intermediate
290 pages
8h 12m
English
Overview
Discover how to successfully manage data science projects and build high-performing teams with 'Managing Data Science.' This book provides actionable insights on handling the entire data science workflow, from conception to production, and addresses common challenges with practical strategies.
What this Book will help me do
- Understand the fundamentals of building scalable and efficient data science pipelines.
- Acquire techniques to manage every stage of data science projects effectively, from prototype to production.
- Learn proven strategies for assembling, cultivating, and sustaining a skilled data science team.
- Explore the latest tools, methodologies, and best practices in ModelOps and DevOps for data science.
- Gain insights into troubleshooting and optimizing data science workflows to achieve organizational goals.
Author(s)
None Dubovikov is a seasoned expert in data science and project management, bringing years of hands-on experience to both domains. With a passion for leveraging data to drive business success, None guides readers through building sustainable practices and effective teams in the growing field of data science.
Who is it for?
This book is perfect for data science professionals, project managers, and business leaders seeking practical guidance to reap the benefits of data-driven decision-making. Designed for readers with a foundational understanding of data science, it helps bridge the gap between technical expertise and managerial efficiency.
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