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CompTIA Data+ 

Exam Code : DA0-001

The CompTIA Data+ certification is designed for early-career professionals responsible for developing and promoting data-driven decision-making. It validates foundational skills in data analytics, data mining, visualization, data governance, and reporting—making it ideal for those pursuing roles in business intelligence, data analysis, and more.

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Why Join this Program

  • ✅ In-Demand Data Skills: The program equips you with essential data analysis, visualization, and interpretation skills that are highly sought after across industries.

  • 💼 Career Advancement: It provides a competitive edge for professionals aiming for roles like Data Analyst, Business Analyst, and Reporting Analyst.

  • 📊 Industry-Recognized Credential: CompTIA Data+ is a globally recognized certification, validating your ability to work with data confidently and professionally.

  • 🌐 Applicable Across Roles: Whether you’re in marketing, finance, healthcare, or IT, the skills gained through this program are universally applicable and business-critical.

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Program Overview

The CompTIA Data+ certification program is designed for professionals who want to develop and validate their skills in data analysis, interpretation, and management. This program equips learners with the foundational knowledge required to mine, analyze, and interpret data to support informed business decisions. It focuses on areas such as data environments, data governance, quality and controls, as well as data analysis techniques, visualization tools, and reporting.

Ideal for data analysts, business intelligence professionals, and those working with data-driven decision-making, CompTIA Data+ bridges the gap between business needs and technical skills. Whether you’re just starting out or looking to validate your data skills, this certification helps ensure you’re equipped to manage and communicate meaningful insights from complex datasets in any industry.

Key Features

  • ✅ Vendor-Neutral Certification – Applicable across various platforms and industries, not tied to specific tools or software.

  • 📊 Data Analysis Focus – Covers essential skills in data mining, manipulation, and statistical techniques.

  • 📈 Data Visualization Techniques – Teaches how to present data using dashboards, reports, and visualization tools.

  • 🔐 Data Governance and Quality – Emphasizes maintaining data integrity, accuracy, and security.

  • 🔄 Data Lifecycle Management – Covers the entire data lifecycle, from collection and storage to archiving and disposal.

  • 💡 Real-World Scenarios – Prepares learners to apply analytical skills in practical, business-focused scenarios.

  • 🧠 Critical Thinking Development – Encourages analytical thinking to interpret data for business insights.

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  • 🖥️ Tool-Agnostic Skills – Builds foundational knowledge that can be applied using a variety of data tools and platforms.

  • 🧪 Exam-Aligned Content – Structured to prepare you specifically for the CompTIA Data+ (DA0-001) exam.

  • 🌍 Career-Oriented – Designed to open doors to roles in data analysis, reporting, and business intelligence.

Learning Path

1.0 Data Concepts and Environments (15%)

  • Identify Basic Concepts of Data Schemas and Dimensions
  • Compare and Contrast Different Data Types
  • Compare and Contrast Common Data Structures and File Formats

2.0 Data Mining (25%)

  • Explain Data Acquisition Concepts
  • Identify Common Reasons for Cleansing and Profiling Datasets
  • Given a Scenario, Execute Data Manipulation Techniques
  • Explain Common Techniques for Data Manipulation and Query Optimization

3.0 Data Analysis (23%)

  • Given a Scenario, Apply the Appropriate Descriptive Statistical Methods
  • Explain the Purpose of Inferential Statistical Methods
  • Summarize Types of Analysis and Key Analysis Techniques
  • Identify Common Data Analytics Tools

4.0 Visualization (23%)

  • Given a Scenario, Translate Business Requirements to Form a Report
  • Given a Scenario, Use Appropriate Design Components for Reports and Dashboards
  • Given a Scenario, Use Appropriate Methods for Dashboard Development
  • Given a Scenario, Apply the Appropriate Type of Visualization
  • Compare and Contrast Types of Reports

5.0 Data Governance, Quality, and Controls (14%)

  • Summarize Important Data Governance Concepts
  • Given a Scenario, Apply Data Quality Control Concepts
  • Explain Master Data Management (MDM) Concepts

What Skills Will You Learn?

  • 📈 Data Mining and Analysis: Learn how to collect, clean, and interpret data using various techniques and tools to uncover meaningful insights.

  • 📊 Data Visualization: Gain skills to present data through charts, dashboards, and reports using tools like Excel, Power BI, or Tableau.

  • 🔒 Data Governance and Quality: Understand how to ensure data accuracy, consistency, integrity, and compliance with organizational standards.

  • 🧠 Analytical Thinking: Develop strong critical thinking and decision-making abilities by interpreting trends and patterns in complex datasets.

  • 🗂️ Data Lifecycle Management: Learn how data moves through an organization—from creation and storage to usage and retirement.

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  • 🧩 Basic Statistical Methods: Apply foundational statistical techniques to support data-driven decisions and business goals.

  • 🧾 Data Reporting: Create clear, concise, and actionable data reports tailored to different stakeholders and business contexts.

Jobs You Can Land with the CompTIA Cloud+  Certification:

  • Data Analyst – Analyze, interpret, and visualize data to support business decisions.

  • Business Intelligence Analyst – Transform data into actionable insights using dashboards and reporting tools.

  • Reporting Analyst – Create reports and summaries to help departments understand operational performance.

  • Operations Analyst – Use data to improve internal processes, workflows, and efficiency.

  • Marketing Analyst – Analyze campaign and customer data to optimize marketing strategies.

  • Data Specialist – Manage data systems, ensure data quality, and support analytics teams.

  • Database Technician – Support database operations, data entry, and basic query functions.

  • Junior Data Engineer – Assist in building data pipelines and preparing datasets for analysis.

  • Financial Analyst (Entry-Level) – Use data to track budgets, forecasts, and financial trends.

  • Product Analyst – Evaluate product performance and customer feedback through data analysis.

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Exam Details

Course NameCompTIA Data+ 
Course Number:DA0-001 
Required examDA0-001 
Number of QuestionsMaximum of 90 questions 
Type of QuestionsMultiple-choice and performance-based 
Length of Test90 Minutes 
Passing Score675 (on a scale of 100-900) 
RetirementUsually three years after launch 
LanguagesEnglish

Exam Preparation

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