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Data+

Professional training. Expert instructors. Better value. No compromises.

DA-001 Live Instructor-Led Training
CompTIA DA0-002 5 Days 40 Hours
$2,199

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CompTIA Data+ (DA0-002) develops the practical skills required to collect, prepare, analyze, and communicate data throughout the analytics lifecycle. It is intended for professionals who work with data as part of their current role, individuals moving into data-focused positions, and organizations seeking a consistent approach to analytical work and decision support.

The training explores data concepts and environments, acquisition and preparation, analysis, visualization and reporting, and data governance. Participants learn how to evaluate data sources, clean and transform raw information, apply statistical methods, identify patterns and trends, and present findings through reports, dashboards, and visualizations. Attention is also given to data quality, governance, privacy, and the controls needed to maintain confidence in analytical results.

Professionals with approximately 18 to 24 months of experience working with data, databases, spreadsheets, or analytical tools will find the course especially relevant, although it can also serve as a structured entry point for career changers with a suitable technical foundation. For organizations, Data+ training helps establish common methods for acquiring, interpreting, and presenting data so that analysis is repeatable, defensible, and aligned with business requirements.

Course Objectives

What you will learn

Domain 1: Data Concepts and Environments

  • Explain data concepts.
  • Identify types of data sources.
  • Identify infrastructure concepts.
  • Identify common data analysis tools.
  • Identify artificial intelligence (AI) concepts.

Domain 2: Data Acquisition and Preparation

  • Given a scenario, use data acquisition methods.
  • Given a scenario, perform data exploration to identify possible inconsistencies with a data set.
  • Given a scenario, perform appropriate data transformation and cleansing techniques.

Domain 3: Data Analysis

  • Given a set of requirements, determine the appropriate communication approach for data analysis.
  • Given a scenario, select the appropriate statistical method or function.
  • Given a scenario, troubleshoot basic issues using the appropriate tool or method.

Domain 4: Visualization and Reporting

  • Given a scenario, use the appropriate visual elements.
  • Given a scenario, use the appropriate delivery or consumption method.
  • Given a scenario, troubleshoot issues using report validation techniques.

Domain 5: Data Governance

  • Explain data management concepts.
  • Identify types of data sources.
  • Summarize concepts related to data compliance.
  • Compare and contrast data privacy and protection practices.
  • Compare and contrast data quality assurance practices.