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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Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
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Produktdetaljer
ISBN
9781098113001
Publisert
2023-09-30
Utgiver
Vendor
O'Reilly Media
Høyde
233 mm
Bredde
178 mm
Aldersnivå
G, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
600
Forfatter