Description: Title: Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python Author: Lau, Sam Publisher: O'Reilly Media Binding: Paperback Pages: 594 Dimensions: 9.20h x 7.40w x 1.20d Product Weight: 2.1 lbs. Language: English ISBN: 9781098113001 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. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data
Price: 94.99 USD
Location: Tennessee
End Time: 2024-11-04T19:19:53.000Z
Shipping Cost: 9.95 USD
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Restocking Fee: No
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Book Title: Learning Data Science: Data Wrangling, Exploration, Visualization
Number of Pages: 594 Pages
Publication Name: Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 1.4 in
Subject: Numerical Analysis, Data Visualization, Databases / Data Warehousing, Databases / Data Mining
Publication Year: 2023
Item Weight: 35.8 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.1 in
Author: Sam Lau, Deborah Nolan, Joseph Gonzalez
Item Width: 7 in
Format: Trade Paperback
