310 pages | January 2024 | Quadrangle
Preface | Contents | Index | Datasets
DUDADS Volumes: [1 | 2 | 3 | 4 | 5 | PDV]
P. Boily (with contributions from B. Rayfield and J. Schellinck)
Chapter 14: Data Science Basics (70 pages)
P. Boily and J. Schellinck
Chapter 15: Data Preparation (50 pages)
P. Boily
Chapter 16: Web Scraping and Automatic Data Collection (64 pages)
P. Boily (with contributions from A. Macfie)
Chapter 17: Data Engineering and Data Management (24 pages)
A. Maheshwari
Chapter 18: Data Exploration and Data Visualization (32 pages)
P. Boily (with contributions from E. Gashim and M. Pelletier)
Back Cover Description: "Journey deeper into the intricate universe of data science with Volume 2 of Patrick Boily's comprehensive series, Data Understanding, Data Analysis, and Data Science. A vital resource for academics and professionals alike, 'Fundamentals of Data Insight' serves as both a practical guide and a reflective treatise.
Step beyond the quantitative and delve into the non-technical facets of data work—ethics, teamwork, and decision-making—before transitioning into the essential technical domains. Master the art of data preparation and the methods of automatic data collection through web scraping. Acquaint yourself with the backbone of data science: data engineering and management, presented here in a condensed chapter by A. Maheshwari.
Volume 2 culminates with the exploration and visualization of data, incorporating insights from collaborators who bring diverse perspectives to this often critical aspect of data science (see also Boily, Davies, and Schellinck's The Practice of Data Visualization for more information on the topic). Designed to be tool-agnostic, these course notes exemplify the 'Understanding' that forms the cornerstone of the series.
Whether you're a budding data scientist, a seasoned analyst, or an inquisitive academic, this volume offers a nuanced understanding of how to glean insights from data—insights that are not merely numerical but informative. Dive in alongside guided lectures or savour it as an independent study companion. Fundamentals of Data Insight demystifies the complexity of data science and paves the way for informed, ethical decision-making in the data-rich world we inhabit."