Cremonini, Marco

Data science fundamentals with R, Python, and open data / Marco Cremonini. - Hoboken, New Jersey : Wiley, 2024. - xxii, 455 p. : ill. ; 26 cm.

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.

9781394213245 (hbk.)


Data science.
Data mining.
Open data.
Data analysis.
Exploratory data analysis.

006.312 CRE