Dealing with Data Pocket Primer

• Autore: Campesato Oswald
• Pubblicazione: Bloomfield : , : Mercury Learning & Information, , 2022; ©2022
• Descrizione fisica: 1 online resource (246 pages)
• Disciplina: 001.42
• Soggetto topico: Quantitative research - Reliability; Quantitative research - Data processing
• Soggetto non controllato: NLP; Pandas; RDBMS; SQL; computer science; data analytics; data cleaning; data visualization; programming; python; statistics
• Nota di contenuto: Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Probability and Statistics -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: Introduction to RDBMS and SQL -- Chapter 5: Working with SQL and MySQL -- Chapter 6: NLP and Data Cleaning -- Chapter 7: Data Visualization -- Index
• Sommario/riassunto: 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.
• Titolo autorizzato: Dealing with Data Pocket Primer
• ISBN: 1-5231-4740-7; 1-68392-818-0; 1-68392-819-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910795724303321
• Lo trovi qui: Univ. Federico II
• Serie: Computing