Dealing with Data Pocket Primer

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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistic...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Campesato, Oswald
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bloomfield : Mercury Learning & Information, 2022.
Colección:Computing Ser.
Temas:
Quantitative research > Reliability.
Quantitative research > Data processing.
Recherche quantitative > Fiabilité.
Recherche quantitative > Informatique.
NLP.
Pandas.
RDBMS.
SQL.
computer science.
data analytics.
data cleaning.
data visualization.
programming.
python.
statistics.
Acceso en línea:Texto completo
Descripción
Sumario:As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization. Introduces probability and statistical concepts. Features numerous code samples throughout. Includes companion files with source code and figures.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (246 p.).
ISBN:9781683928195
1683928199
1523147407
9781523147403
1683928180
9781683928188

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