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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Detalles Bibliográficos
Otros Autores: Lau, Sam, author (author), Gonzalez, Joseph, author, Nolan, Deborah Ann, 1955- author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc 2023.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009766136606719
Descripción
Sumario: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.
Descripción Física:1 online resource (594 pages) : colour illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781098112998