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Data science fundamentals with R, Python, and open data / Marco Cremonini.

By: Material type: TextPublication details: Hoboken, New Jersey : Wiley, 2024.Description: xxii, 455 p. : ill. ; 26 cmISBN:
  • 9781394213245 (hbk.)
Subject(s): DDC classification:
  • 22 006.312 CRE
Summary: Introduces essential concepts and techniques of R and Python for data science, with a strong focus on open data. Covers exploratory data analysis, data organization, data frames, logical conditions, dates and strings, missing values, pivoting, grouping, iterations, functions, data-frame joins, and list/dictionary data formats.
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Books Central Library Reference Reference 006.312 CRE (Browse shelf(Opens below)) Not for loan 235885

Includes index.

Introduces essential concepts and techniques of R and Python for data science, with a strong focus on open data. Covers exploratory data analysis, data organization, data frames, logical conditions, dates and strings, missing values, pivoting, grouping, iterations, functions, data-frame joins, and list/dictionary data formats.

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