Elements Of Data Science

AllenB. Downey (Autor)

Buch | Softcover

304 Seiten

2023
No Starch Press,US (Verlag)
978-1-7185-0290-1 (ISBN)

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Elements of Data Science is an introduction to the discipline for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the practical purposes of various skill sets. The organization of the book itself follows the steps of a data science project: posing and refining questions, cleaning and validating data, exploratory analysis and identifying relationships between variables, generating predictions, and designing data visualizations that tell a compelling story.

Allen Downey is a Staff Producer at Brilliant and Professor Emeritus at Olin College, where he taught Modeling and Simulation and other classes related to software and data science. He is the author of several textbooks, including Think Python, Think Bayes, and Elements of Data Science. Previously, Downey taught at Wellesley College and Colby College. He received his Ph.D. in computer science from the University of California/Berkeley in 1997. His undergraduate and master's degrees are from the Civil Engineering department at MIT. He is the author of Probably Overthinking It, a blog about data science and Bayesian statistics.

Erscheint lt. Verlag	14.11.2023
Verlagsort	San Francisco
Sprache	englisch
Maße	177 x 234 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
ISBN-10	1-7185-0290-7 / 1718502907
ISBN-13	978-1-7185-0290-1 / 9781718502901
Zustand	Neuware