TY  - BOOK
AU  - Lau,Sam
AU  - Gonzalez,Joseph
AU  - Nolan,Deborah Ann
TI  - Learning data science: data wrangling, exploration, visualization, and modeling with Python 
SN  - 9781098113001
U1  - 006.312 23
PY  - 2023///
CY  - USA: 
PB  - O'Reilly Media, Inc.
KW  - Data mining
KW  - Information retrieval
KW  - Databases
KW  - Information technology
KW  - Python (Computer program language)
KW  - Python (Langage de programmation)
KW  - Exploration de données (Informatique)
KW  - fast
N1  - Includes bibliographic references and index; CSE; ps
N2  - 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.--
ER  -