Principles of Strategic Data Science /

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 sys...

Descripción completa

Detalles Bibliográficos
Autor principal: Prevos, Peter (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Packt Publishing, 2019.
Edición:1st edition.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a2200000Ma 4500
001 OR_on1235775183
003 OCoLC
005 20231017213018.0
006 m o d
007 cr cn|||||||||
008 061020s2019 xx go 000 0 eng d
040 |a TOH  |b eng  |c TOH  |d OCLCO 
020 |a 1838985298 
020 |a 9781838985295 
035 |a (OCoLC)1235775183 
049 |a UAMI 
100 1 |a Prevos, Peter,  |e author. 
245 1 0 |a Principles of Strategic Data Science /  |c Prevos, Peter. 
250 |a 1st edition. 
264 1 |b Packt Publishing,  |c 2019. 
300 |a 1 online resource (104 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
365 |b 24.99 
520 |a 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 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 the data-driven approach. Prior programming knowledge of Python and R is assumed. 
542 |f Copyright © 2019 Packt Publishing  |g 2019 
550 |a Made available through: Safari, an O'Reilly Media Company. 
588 0 |a Online resource; Title from title page (viewed June 3, 2019). 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
710 2 |a O'Reilly for Higher Education (Firm),  |e distributor. 
710 2 |a Safari, an O'Reilly Media Company. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781838985295/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP 

Ejemplares similares