Principles of Strategic Data Science: Creating value from data, big and small [NulledPremium]

Book details
Format: pdf
File Size: 1.93 MB
Print Length: 104 pages
Publisher: Packt Publishing; 1 edition (3 June 2019)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B07SL3JYTJ

Description
Take the strategic and systematic approach to analyze data to solve business problems

Key Features
Gain detailed information about the theory of data science
Augment your coding knowledge with practical data science techniques for efficient data analysis
Learn practical ways to strategically and systematically use data
Book Description
We offer you Packt Select – a new, selective range of books on unique topics. We have identified and acquired these books and made it available to you through our brand. These books provides a smooth learning experience using real-world examples and best practices.

Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.

With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach.

By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data.

What you will learn
Get familiar with the five most important steps of data science
Use the Conway diagram to visualize the technical skills of the data science team
Understand the limitations of data science from a mathematical and ethical perspective
Get a quick overview of machine learning
Gain insight into the purpose of using data science in your work
Understand the role of data science managers and their expectations
Who this book is for
This book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take te data-driven approach. Prior programming knowledge of Python and R is assumed.

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