data wrangling, exploration, visualization, and modeling with Python Lau, Sam (Professor) creator author. Gonzalez, Joseph (Professor) author. Nolan, Deborah Ann 1955- author. text bibliography cau USA O'Reilly Media, Inc. 2023 2023 First edition. monographic eng

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xx, 573 pages : illustrations ; 24 cm As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. 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.-- Sam Lau, Joseph Gonzalez & Deborah Nolan. Includes bibliographic references and index. CSE ps REF Omni concept Data mining Information retrieval Databases Information technology Python (Computer program language) Python (Langage de programmation) Exploration de données (Informatique) Data mining Python (Computer program language) 006.312 L3661l 9781098113001 QT4 260708 20260708095103.0 57895 eng