Book Image

Managing Data Science

By : Kirill Dubovikov
Book Image

Managing Data Science

By: Kirill Dubovikov

Overview of this book

Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: What is Data Science?
5
Section 2: Building and Sustaining a Team
9
Section 3: Managing Various Data Science Projects
14
Section 4: Creating a Development Infrastructure

An Ideal Data Science Team

Since you are reading this book, it's likely you already understand the importance of teamwork. You can complete a complex project with a team more efficiently than in isolation. Of course, one person can build a house alone, but by working with others, they will finish the house faster, and the result will be better.

When you work with a team, everyone can specialize in performing several closely-related types of work. To explore different specialties, let's look at an example of how houses are built. Building a roof requires one set of skills, while setting up electricity is completely different. As a manager, you need to have a basic understanding of all specialties, so as to understand all components necessary for completing a task. In the What is Data Science? section, you were introduced to the central concepts of data science. Then,...