Learning data science : data wrangling, exploration, visualization, and modeling with Python

Learning data science data wrangling, exploration, visualization, and modeling with Python

Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technic...

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Bibliographic Details
Other Authors: Lau, Sam, author (author), Gonzalez, Joseph, author, Nolan, Deborah Ann, 1955- author
Format: eBook
Language:Inglés
Published: Sebastopol, CA : O'Reilly Media, Inc 2023.
Edition:First edition
Subjects:
Information technology.
Information retrieval.
Databases.
Data mining.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009766136606719
Description
Summary:Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas.
Physical Description:1 online resource (594 pages) : colour illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781098112998

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