Introduction to Data Science

Livro digital

Título:
Introduction to Data Science

Autor:
Jeffrey Stanton, Robert W. De Graaf

Categoria:
Tecnologia > Dados

Doador:
Raffaello D. N.

Sinopse:
Data science emerges here as a chain of decisions rather than a single act of analysis. Jeffrey Stanton begins with the nature of data and the identification of useful problems, introduces R and RStudio, and follows information through rows and columns, sampling, storage, mapping, regression, data mining, and vector-based methods. The eighteen-chapter progression makes room for both technical tools and the human judgment required to decide what should be collected, transformed, and explained. Examples built around supermarkets, farms, social media, text, geospatial information, and public datasets show how messy evidence becomes a defensible result. Readers work with descriptive statistics, sampling, large datasets, Twitter data, strings, word clouds, databases, visualizations, relationships between variables, and supervised and unsupervised techniques. Robert W. De Graaf's contribution joins a text that consistently connects code to the organizational setting in which data is produced and used. This is a welcoming introduction for readers who want breadth without a wall of abstraction. It treats communication, ethics, acquisition, architecture, analysis, and archiving as parts of the same craft, making it useful to aspiring analysts as well as programmers moving toward data work. By the end, data science looks less like a collection of fashionable tools and more like a repeatable way to ask better questions of imperfect information.