Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy:

by Oliver Theobald

While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data MiningBig DataMachine Learning Alternative Data Data ManagementWeb ScrapingRegression AnalysisClustering AnalysisAssociation AnalysisData VisualizationBusiness Intelligence

Genres: Technology, Nonfiction

149 pages, Kindle Edition

Published July 20, 2019

Reviews

[dani🌿 · Rating 4 out of 5]

Fue todo un desafío leer este libro porque es la primera vez que leo algo completamente en inglés, sumado a un lenguaje que no manejo, pero fue bonito poder haber sorteado eso de buena manera.

El libro es bastante completo, a mi me gustó harto y siento que uno sin saber nada de data y los procesos, queda informado sobre la base del manejo de esto de una manera fácil. Así que cumple con el objetivo que plantea, no sé, es súper interesante y el lenguaje que utilizan es afable también. No le doy cinco estrellas netamente porque como estaba en inglés habían cosas que no entendía y obvio me perdía, pero eso ya es algo personal.

[Artù · Rating 4 out of 5]

Libro breve.
Offre una panoramica nel settore della Data Science.
Il merito principale è la capacità di sintesi oltre a introdurre la terminologia di base del settore.
Ovviamente non è un testo approfondito, parlare di tecnolgia è ben diverso di farla; esattamente come parlare di un sport non è la stessa cosa che praticarlo.
Ecco questo libro vi parla di tecnologia ma da molti spunti su dove investire tempo studiando ed esercitandosi praticamente.

[David · Rating 5 out of 5]

Absolutely loved this book. Well written, key topics were well covered, and although a bit more technical and more geared to data scientists than marketing analysts, all topics were written to easily understand.

[Tim G · Rating 4 out of 5]

Clear and detailed explanation with simplified concepts. The most valuable aspect was the precise naming and labeling of terms and functions, which I found particularly helpful.