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:
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.
The CompTIA Data+ DA0-001 Exam Cram, Premium Edition eBook and Practice Test is a digital-only certification preparation product combining an eBook with an enhanced Pearson IT Certification Practice Test. The Premium Edition eBook and Practice Test contains the following items:
About the Premium Edition Practice Test
This Premium Edition contains an enhanced version of the Pearson IT Certification Practice Test (PCPT) software with four full practice exams. This integrated learning package:
Pearson IT Certification Practice Test minimum system requirements:
Pearson Test Prep online system requirements:
Browsers: Chrome version 73 and above, Safari version 12 and above, Microsoft Edge 44 and above.
Devices: Desktop and laptop computers, tablets running Android v8.0 and above or iPadOS v13 and above, smartphones running Android v8.0 and above or iOS v13 and above with a minimum screen size of 4.7.
Internet access required.
Pearson Test Prep offline system requirements:
Windows 10, Windows 8.1; Microsoft .NET Framework 4.5 Client; Pentium-class 1 GHz processor (or equivalent); 512 MB RAM; 650 MB disk space plus 50 MB for each downloaded practice exam; access to the Internet to register and download exam databases
About the Premium Edition eBook
CompTIA Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the new CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams.
CompTIA Data+ DA0-001 Exam Cram, Premium Edition eBook and Practice Test covers the critical information needed to score higher on your Data+ DA0-001 exam!
Understanding Common Techniques for Data Query Optimization and Testing
Introduction
Part I: Data Concepts and Environments
Chapter 1: It is All About DataThe 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 MakingLeveraging Reports and Dashboards
Part 5: Data Governance, Quality, and Controls
Chapter 16: Data Governance ConceptsEnsuring a baseline
Chapter 17: Quality is everythingData Quality Control
Chapter 18: Mastering Data Management
