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

Estimating data science projects

If you need to explain the basic principles of forecasting to someone, ask them if they have ever worked on a software project. If so, they already know the basics of forecasting: everyone who has worked on one has estimated tasks. Everyone needs estimates. Your customers need them to plan and control when they will start to use the results of your project. The project manager needs estimates to understand the scope, amount of work, and approximate costs for individual tasks or an entire project.

Estimation is beneficial in several areas, such as the following:

  • Understanding work structure: Break down a task into multiple subtasks to view the main steps that you need to complete.
  • Understanding complexity: While it is hard to estimate a complex task by itself, estimating each individual part of the work structure is simpler. It allows you to...