Principles of Strategic Data Science: Creating Value from Data, Big and Small

✍ Scribed by Prevos, Peter

• Publisher: Packt Publishing, Limited
• Year: 2019
• Tongue: English
• Leaves: 104
• Category: Library

✦ Synopsis

Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.;Cover; FM; Table of Contents; Preface; Chapter 1: What is Data Science?; Introduction; Data-Driven Organization; The Data Revolution; The Elements of Data Science; Domain Knowledge; Mathematical Knowledge; Computer Science; The Unicorn Data Scientist?; The Purpose of Data Science; Chapter 2: Good Data Science; Introduction; A Data Science Trivium; Useful Data Science; Reality; Data; Information; Knowledge; The Feedback Loop; Sound Data Science; Validity; Reliability; Reproducibility; Governance; Aesthetic Data Science; Visualization; Reports; Best-Practice Data Science

✦ Table of Contents

Cover
FM
Table of Contents
Preface
Chapter 1: What is Data Science?
Introduction
Data-Driven Organization
The Data Revolution
The Elements of Data Science
Domain Knowledge
Mathematical Knowledge
Computer Science
The Unicorn Data Scientist?
The Purpose of Data Science
Chapter 2: Good Data Science
Introduction
A Data Science Trivium
Useful Data Science
Reality
Data
Information
Knowledge
The Feedback Loop
Sound Data Science
Validity
Reliability
Reproducibility
Governance
Aesthetic Data Science
Visualization
Reports
Best-Practice Data Science Chapter 3: Strategic Data ScienceIntroduction
The Data Science Continuum
Collecting Data
Descriptive Statistics
Business Reporting
Diagnostics
Qualitative Data Science
Predicting the Future
Traditional Predictive Methods
Machine Learning
Prescribing Action
Toward a Data-Driven Organization
Chapter 4: The Data-Driven Organization
Introduction
People
The Data Science Team
Data Science Consumers
Data Science Culture
Systems
Process
Define
Prepare
Understand
Communicate
The Limitations of Data Science
The Limits of Computation
Ethical Data Science
Chapter 5: References
Index.

✦ Subjects

Big data;Data mining;Databases;Electronic data processing;Electronic books