Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
by: Sam Lau (Author), Joseph Gonzalez (Author), Deborah Nolan (Author)
Publisher finelybook 出版社: O’Reilly Media; (October 24, 2023)
Language 语言: English
Print Length 页数: 594 pages
ISBN-10: 1098113004
ISBN-13: 9781098113001
Book Description
By finelybook
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
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