CompTIA Data+ Study Guide: Exam DA0-001

Name: CompTIA Data+ Study Guide: Exam DA0-001
Brand: John Wiley & Sons Inc
SKU: 9781119845256
Price: 185.78 PLN
Availability: InStock

Autor: Mike Chapple, Sharif Nijim

Język:

Oprawa: Miękka

Wydawca: John Wiley & Sons Inc

Dostępność: Dostępna u dostawcy

Wysyłamy za 9-15 dni

185.78 zł

Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this...

Informacje o książce

Autor

Mike Chapple, Sharif Nijim

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2022

strony

368

EAN

9781119845256

ISBN

1119845254

Enbook ID

36924008

Wydawca

John Wiley & Sons Inc

Waga

634

Wymiary

233 x 189 x 24

Pełny opis

Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guideCompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers.With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers:* All the information necessary to succeed on the exam for a widely accepted, entry-level credential that unlocks lucrative new data analytics and data science career opportunities* 100% coverage of objectives for the NEW CompTIA Data+ exam* Access to the Sybex online learning resources, with review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key termsIdeal for anyone seeking a new career in data analysis, to improve their current data science skills, or hoping to achieve the coveted CompTIA Data+ certification credential, CompTIA Data+ Study Guide: Exam DA0-001 provides an invaluable head start to beginning or accelerating a career as an in-demand data analyst.

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