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CompTIA Data+ DA0-001 Exam Cram
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CompTIA Data+ DA0-001 Exam Cram

CompTIA Data+ DA0-001 Exam Cram

Akhil / Subramanian Behl

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0 pages, parution le 18/01/2023
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Résumé

Businesses now more than ever are relying on data analysis to maximize sales and understand consumer trends. Regardless of your role or job function, just about everyone in today's climate is expected to have some skills in this area. As the field of data analysis becomes more integral to business strategy it is imperative to gain the knowledge that will set yourself apart from the competition and benefit your career prospects. CompTIA Data+ DA0-001 Exam Cram is designed to prepare candidates for success on the exam, using the proven Exam Cram method of study. This latest addition to the Exam Cram series is geared toward early-career business and data analysts, and as with all Exam Cram books, includes: Chapters that map directly to the exam objectives Comprehensive foundational learning on all topics covered on the exam An extensive collection of practice questions Access to the Pearson Test Prep practice test software that provides real-time practice and feedback, online or offline Flash cards to drill on key concepts The Cram Sheet tear-out card including tips, acronyms, and memory joggers not available anywhere else;mdash;perfect for last-minute study All the topics in the exam are covered here, including: mining data, manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle. This book is in complete alignment with the CompTIA Data+ certification exam blueprint. It will take you systematically through the five major domains, and the subtopics within those domains, which constitute the ComptTIA Data+ exam. It is an invaluable guide to preparing to pass the CompTIA Data+ exam.Introduction Part I: Data Concepts and Environments Chapter 1: It is All About Data-The World of Data Chapter 2: The Data Types and Types of Data Chapter 3: Getting to Know the Data Dimensions Chapter 4: Database Schemas Chapter 5: An Overview of the Common Data structures and File formats Part 2: Data Mining Chapter 6: Understanding Data Acquisition and Data Monetization Chapter 7: Clean and Profile the Data Chapter 8: Data Manipulation and Data Reconciliation Chapter 9: Data Query Optimization and Testing Part 3: Data Analysis Chapter 10: The (un)common Data Analytics Tools Chapter 11: Descriptive and Inferential Statistical Methods Chapter 12: Exploring Data Analysis and Key Analysis Techniques Part 4: Data Visualization Chapter 13:-Data Visualization Chapter 14: Reports and Dashboards Chapter 15: Data Driven Decision Making-Leveraging Reports and Dashboards Part 5: Data Governance, Quality, and Controls Chapter 16: Data Governance Concepts-Ensuring a baseline Chapter 17: Quality is everything-Data Quality Control Chapter 18: Mastering Data Management

Caractéristiques techniques

  PAPIER
Éditeur(s) Prentice
Auteur(s) Akhil / Subramanian Behl
Parution 18/01/2023
Nb. de pages 0
EAN13 9780137637294

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