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CompTIA Data+ DA0-002 V2: Practice Exams

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Six full-length practice exams designed to simulate the actual examination experience
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Created by Robert Karamagi
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What you'll learn

  • Data Concepts and Environments
  • Data Acquisition and Preparation
  • Data Analysis
  • Visualization and Reporting
  • Data Governance
This course includes:
540 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Recommended Experience: 1.5 to 2 years of hands-on experience in a relevant data or IT role.
  • Database Knowledge: Prior exposure to working with databases and utilizing analytical tools.
  • Statistical Knowledge: A basic understanding of statistical methods.
  • Visualization Skills: General familiarity with creating and interpreting data visualizations.
  • Beginner Accessibility: While 1.5 to 2 years of experience is recommended by CompTIA, there are no mandatory hard prerequisites to begin learning the material.

Description

Welcome to the definitive preparation resource for the CompTIA Data+ DA0-002 V2 certification exam. This comprehensive course features six full-length practice exams designed to simulate the actual examination experience.

Earning the CompTIA Data+ credential proves your ability to manipulate data, apply statistical methods, and translate complex data sets into actionable business insights. To guarantee you are fully prepared for the live environment, each of these six practice exams has been meticulously engineered to mimic the real test format. Each simulated exam challenges you with a maximum of 90 multiple-choice and performance-based questions within a strict 90-minute time limit. By engaging with these timed exams, you will build essential test-taking endurance, perfect your time management, and accurately gauge your technical readiness before sitting for the official certification.

The questions in every test are expertly distributed to perfectly reflect the official CompTIA Data+ domain weighting:

  • 1.0 Data Concepts and Environments (20%): Evaluates your foundational knowledge of data structures, schemas, database types, and various data environments.

  • 2.0 Data Acquisition and Preparation (22%): Tests your practical ability to acquire, extract, clean, and properly transform raw data into a usable format.

  • 3.0 Data Analysis (24%): Assesses your proficiency in applying basic statistical methods and analyzing complex data sets to support robust data-driven decisions.

  • 4.0 Visualization and Reporting (20%): Validates your skills in using industry-standard tools and emerging technologies to build appropriate reports and impactful visualizations.

  • 5.0 Data Governance (14%): Challenges your understanding of data compliance, privacy protocols, and quality standards throughout the entire data life cycle.

Designed for professionals with the recommended 1.5 to 2 years of hands-on experience utilizing databases, analytical tools, statistics, and data visualization, these six simulated exams provide the exhaustive repetition necessary for complete subject-matter fluency. Validate your analytical skills, eliminate exam-day surprises, and secure your CompTIA Data+ credential with absolute confidence.

Who this course is for:

  • Candidates preparing to take and pass the CompTIA Data+ DA0-002 certification exam.
  • Professionals who need to translate business requirements to support data-driven decisions by acquiring, preparing, and transforming data.
  • Individuals seeking to utilize industry-standard tools and emerging technologies to create appropriate data reports and visualizations.
  • Data practitioners who want to learn how to apply basic statistical methods and accurately analyze complex data sets.
  • Professionals responsible for ensuring data adherence to strict governance and quality standards throughout the entire data life cycle.
  • Individuals with 1.5 to 2 years of hands-on experience working with databases, analytical tools, statistics, and data visualization who wish to formally validate their skill sets.
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