Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Grayscale Indian Edition)

Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Grayscale Indian Edition) (Paperback, Sam Lau, Joseph Gonzalez, Deborah Nolan)

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Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Grayscale Indian Edition)  (Paperback, Sam Lau, Joseph Gonzalez, Deborah Nolan)

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    Highlights
    • Binding: Paperback
    • Publisher: Shroff/O’Reilly
    • Genre: Computing & Information Technology
    • ISBN: 9789355424853, 935542485X
    • Edition: First, 2023
    • Pages: 596
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  • Description
    All Indian Reprints of O'Reilly are Printed in Grayscale. 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.
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    Publication Year
    • 2023
    Contributors
    Author Info
    • Sam Lau is a PhD candidate at UC San Diego. He designs novel interfaces for learning and teaching data science. Joseph (Joey) Gonzalez is an assistant professor in the EECS department at UC Berkeley and a founding member of the new UC Berkeley RISE Lab. Deborah (Deb) Nolan is Professor of Statistics and Associate Dean for Undergraduate Studies in the Division of Computing, Data Science, and Society at the University of California, Berkeley.
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    • DATA SCIENCE
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