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Data Science Fundamentals Pocket Primer Cover

Data Science Fundamentals Pocket Primer

Volume in the series
Pocket Primer
Publisher:Mercury Learning and Information
By: Oswald Campesato  
Paid access
|May 2021
Print: Available at Amazon

Metrics

PDF ISBN: 978-1-68392-732-7 | E-Pub ISBN: 978-1-68392-731-0 | Paperback ISBN: 978-1-68392-733-4 | DOI: 10.1515/9781683927327
Publisher: Mercury Learning and Information
Copyright owner: © 2021 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2021
Language: English
Pages: 428
Keywords:
r,
nosql,
computer science,
pandas,
programming,
data analytics,
numpy,
python,
sql,
programming,
data
Related subjects:
Computer sciences,
Programming and languages,
Computer sciences, other

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